Alternatives to QMSys GUM

Professional researchers worldwide choose this program for their user-friendly, quick analysis and production of presentation-ready biplots, correspondence and MCA maps. 64-bit program runs on both MACs and PCs. Our Brand Projector I graphically shows and calculates the necessary attributes for brand (column), repositioning to any point on a Map. Brand Projector II allows researchers to interactively modify attributes (rows), and then watch the Brand (column), move in response.

DigitalClone®, for Engineering is the only software that integrates multiple scales of analysis into a single package. It is the world's best gearbox reliability prediction tool. DC-E, in addition to the modeling and analysis capabilities at the level of the gearbox and the gear/bearing, is the only software that models fatigue life using detailed, physics-based models (US Patent 10474772B2). DC-E allows the construction of a digital twin of a gearbox. This includes all stages of the asset's lifecycle, from design and manufacturing optimization to supplier selection to failure root cause analysis to condition based maintenance and prognostics. This computational environment reduces the time and cost of bringing new designs to market and maintaining them over time.

SPC for Excel, a simple but powerful package, to handle all your SPC and statistical analysis needs. SPC for Excel software allows you to identify problem areas, gain insight into your data, spot trends and solve problems. All this in Excel. From the novice to the black belt, SPC for Excel will facilitate your process improvement efforts – in any industry – profit or non-profit. Get all the techniques you need for your charting and analysis – including Pareto diagrams, Histogram, Control Charts, Gage R&R, Process Capability, Distribution Fitting, Data Transformation, Regression, DOE, Hypothesis Testing, and more! One time payment – yours forever. Two downloads per user and free Technical support. Try out our Demo – see how easy it is! Process Capability analysis - to meet customer needs Control charts and histograms - to manage processes Gage R&R Studies – To validate your measurement system Problem Solving Tools (Pareto and histogram, scatter, etc.) - to help your group solve problems Advanced Data Analysis Tools (DOE and ANOVA, distribution fittings, regression, hypotheses testing and more) are available to meet your advanced requirements.

The newest version of the free software MCM Alchimia has been designed to facilitate the estimation of measurement uncertainty and calibrations using the Monte Carlo method in accordance with JCGM 101. In this update, a comprehensive GUM framework uncertainty budget has been introduced, and similar to the previous version, it maintains support for correlated quantities and regression curves. Additionally, it boasts a speed enhancement that rivals well-known calculation and statistics programs. Users can perform simulations using direct, inverse, and total least squares methods, offering versatility in analysis. Furthermore, there is a custom application language available through an external module, allowing for tailored functionality. The output report provides a thorough statistical analysis of the simulations conducted, ensuring users have detailed insights into their results. This release significantly enhances the usability and efficiency of the application for professionals in the field.

JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.

NLREG is an advanced statistical analysis tool designed for both linear and nonlinear regression analysis, as well as for fitting curves and surfaces. It identifies the optimal values of parameters for a user-defined equation, ensuring that it best aligns with a given set of data points. Capable of managing various function types, including linear, polynomial, exponential, logistic, periodic, and more general nonlinear forms, NLREG stands out because it can accommodate nearly any algebraically specified function. Unlike many other nonlinear regression tools that are restricted to a limited selection of functions, NLREG offers a comprehensive range of possibilities. The program incorporates a robust programming language with a syntax akin to C, allowing users to define the function to be fitted while enabling the computation of intermediate variables, the use of conditionals, and the implementation of iterative loops. Furthermore, NLREG simplifies the creation of piecewise functions that can adapt their form across different ranges. Additionally, the inclusion of arrays in the NLREG language facilitates the use of tabular lookup methods to designate the function, providing even greater flexibility for users in their analyses. Overall, NLREG is an invaluable asset for statisticians and data analysts seeking to conduct complex fitting tasks.

If you're a researcher seeking to analyze data without being an expert in statistics, Statistix is the perfect solution for you. You can get started in just a few minutes—no programming skills or manual reading required! This user-friendly software is designed to save you both time and resources. Offering a comprehensive suite of both fundamental and advanced statistical tools, Statistix provides everything you need in one cost-effective package. It features robust data manipulation capabilities, compatibility for importing and exporting Excel and text files, as well as an array of statistical methods such as linear models (including linear and logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests, time series analysis, association tests, survival analysis, quality control, power analysis, and much more. With Statistix, managing and analyzing your data becomes an accessible and efficient process.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

XLfit® is an add-in for Microsoft® Excel designed for Windows that integrates advanced scientific mathematics and statistical analysis directly into the familiar Excel environment, complete with robust charting features. Recognized as a premier statistical and curve fitting tool, XLfit is trusted by top organizations in the pharmaceutical, chemical, engineering sectors, and academic research, with validation from the National Physical Laboratory (NPL). Users can access a library of over 70 pre-built models for both linear and nonlinear curve fitting, accommodating the needs of experiments in drug discovery and related fields. In addition to these standard models, XLfit allows the addition of an unlimited number of custom user-defined models. The software offers capabilities such as linear and nonlinear modeling, as well as interactive 2D and 3D charting, facilitating features that are essential for scientists. With its comprehensive set of tools, XLfit empowers researchers to effectively analyze and visualize their data.

ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are. ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value. ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.

Measurements are always subject to deviations from their true values, a phenomenon known as measurement uncertainty, especially when assessing or calibrating measurement tools or methodologies. To ensure quality control, it is essential to accurately quantify this uncertainty. GUMsim®, which adheres to the latest Guide to the Expression of Uncertainty in Measurement (GUM) and its supplement 1, utilizes sophisticated computational algorithms that facilitate a more effective determination of measurement uncertainty in line with ISO/IEC 17025 standards. The process of determining measurement uncertainty involves a mathematical relationship and statistical analysis of all variables influencing the measurement outcomes. To streamline this process, GUMsim provides a user-friendly input environment designed for various measurement models. Additionally, it offers a range of pre-defined application models that function as templates tailored to assist you in conducting specific evaluations, making it easier to embark on your measurement uncertainty assessments. This feature not only enhances the user experience but also encourages consistency in measurement practices across different applications.

RiskAMP is a comprehensive Monte Carlo simulation engine designed specifically for Microsoft Excel®, allowing for seamless integration with the software's interface and functions. The RiskAMP Add-in provides an extensive toolkit for incorporating risk analysis into spreadsheet models, streamlining the process while remaining more affordable than many competing options. Featuring a user-friendly integrated ribbon toolbar and support for VBA scripting, it also automatically generates charts and graphs. With the release of RiskAMP 6, new features have been added, including the PERT distribution for project and cost modeling, over 40 random distributions—including those that are correlated and multivariate—and automatic generation of histogram and correlation charts. The tool accommodates Latin Hypercube sampling, Las Vegas simulation algorithms, and distribution fitting, while also offering native compatibility with Windows on ARM architecture. RiskAMP is suitable for use with Excel versions ranging from 2013 to 365, whether in 32-bit or 64-bit formats, and users can also access a web-based risk platform known as RiskAMP Web. This versatility ensures that a wide range of users can benefit from enhanced risk analysis capabilities in their Excel applications.

Beautiful dashboards and reports are available in BI tools that allow users to examine patterns in historical data. Past data can provide insights. It cannot be prescriptive. Model-Driven decision making is the only way to get a better understanding of what could happen in unusual situations and how to make it happen. Analytica is an innovative visual software environment that allows you to build, explore, and share quantitative decision models that produce prescriptive results. Transcend cumbersome spreadsheets. Analytica's flexibility, power, flexibility, and clarity are a revelation. Analytica makes it easy to create transparent models in fractions of the time required for procedural languages such as R or Python. Analytica provides insights, not just numbers. Agile modeling can be used to create models that support business decision-making. Probabilistic simulations are efficient and accurate in estimating risk and uncertainty. Smart sensitivity analysis reveals what is important and why.

Analytic Solver Optimization offers complete upward compatibility with the Excel Solver and is capable of addressing any type and scale of traditional optimization problem devoid of uncertainty. What sets it apart from other optimization tools is its ability to algebraically dissect your model's structure and utilize the full power of multiple cores in your computer. It allows for solving nonlinear models that are ten times larger and linear models up to forty times larger than what the Excel Solver can manage, providing significantly faster solutions while also enabling the integration of Solver Engines that can accommodate millions of variables. Additionally, Analytic Solver Simulation provides a user-friendly yet robust platform for Monte Carlo simulations, risk analysis, decision trees, and simulation optimization, leveraging Frontline’s sophisticated Evolutionary Solver. With a repertoire of 60 probability distributions, including compound distributions, automatic fitting, rank-order and copula-based correlations, along with 80 statistics, various risk measures, Six Sigma functions, and the capability for multiple parameterized simulations, it stands out as a comprehensive solution for complex analytic needs. This combination of features ensures that users can perform detailed analyses with efficiency and precision, making it an indispensable tool in the realm of optimization and simulation.

In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.

Altair Compose allows you to do math calculations, manipulate, and visualize data, program, and debug scripts that can be used for repeated computations or process automation. Compose lets users perform a variety of math operations, including matrix manipulations and linear algebra, as well as signal processing, control systems and polynomial fitting and optimization.

Introducing an exceptionally user-friendly scoring system specifically designed for small to medium-sized credit institutions, crafted by scoring specialists. This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features. It boasts the most favorable cost-to-value ratio available in the industry and can be operational within just a few days. Thanks to its intuitive wizard-based scorecard modeling interface, users find it easy to navigate. You can also monitor and validate scorecards with a selection of pre-defined reports. The system incorporates Reject Inference through both automated and manual methods, alongside automated binning utilizing chi-square techniques and manual binning based on Weight of Evidence (WOE). Additionally, it offers both automatic and manual sampling options, along with graphical statistics to visualize data insights. Users can filter, sort, and reassign portfolio data into “Good” and “Bad” categories, while numeric variables can easily be transformed into categorical forms. Furthermore, it provides correlation coefficients for each variable pair, both before and after the binning process, ensuring comprehensive analysis and understanding of the dataset. With this robust scoring system, credit organizations can enhance their decision-making processes efficiently.

The Lumenaut Excel Add-In offers a powerful suite of tools including Monte Carlo Analysis for risk simulations, a Decision Tree feature, and both Parametric and Non-Parametric statistical analysis capabilities, all accessible within Excel for various applications in business, engineering, and scientific research. Users are free to use the software commercially without any limitations on its features. The journey of developing Lumenaut was both challenging and gratifying, and it brings us great joy to see thousands of users benefit from improved analysis and decision-making processes. However, due to the current market conditions not supporting further significant investments in its development, we have decided to make Lumenaut available to the community at no cost, encouraging broader accessibility and use. We hope that by offering it for free, users will continue to find innovative ways to enhance their analytical capabilities.

Effortlessly combine COMSOL Multiphysics® with MATLAB® to broaden your modeling capabilities through scripting within the MATLAB framework. The LiveLink™ for MATLAB® feature empowers you to access the comprehensive functionalities of MATLAB and its various toolboxes for tasks such as preprocessing, model adjustments, and postprocessing. Elevate your custom MATLAB scripts by integrating robust multiphysics simulations. You can base your geometric modeling on either probabilistic elements or image data. Furthermore, leverage multiphysics models alongside Monte Carlo simulations and genetic algorithms for enhanced analysis. Exporting COMSOL models in a state-space matrix format allows for their integration into control systems seamlessly. The COMSOL Desktop® interface facilitates the utilization of MATLAB® functions during your modeling processes. You can also manipulate your models via command line or scripts, enabling you to parameterize aspects such as geometry, physics, and the solution approach, thus boosting the efficiency and flexibility of your simulations. This integration ultimately provides a powerful platform for conducting complex analyses and generating insightful results.

ASReml-SA is an advanced statistical software tailored for mixed models that utilizes Residual Maximum Likelihood (REML) to effectively estimate parameters. The linear mixed-effects models it offers serve as a versatile and comprehensive tool for analyzing various datasets frequently encountered in fields such as animal, plant, and aqua breeding, as well as agriculture, environmental sciences, and medical research. The newest version, ASReml-SA 4.2, boasts three times the memory capacity of its predecessor, 4.1, enabling it to manage significantly larger analyses with ease. Additionally, the software has been optimized for speed through parallel processing capabilities and targeted memory allocation for specific tasks, resulting in notable performance improvements. A comparison table is available to illustrate the speed enhancements achieved across a range of analyses. ASReml-SA 4.2 not only enhances processing speed but also provides users with a more efficient experience overall. However, the extent of these speed improvements can vary depending on several factors, including the type of microprocessor, the overall power of the machine, the size and nature of the dataset, and the specific analysis being conducted.

NXG Logic Explorer is a comprehensive machine learning software designed for Windows, aimed at facilitating data analytics, predictive analytics, unsupervised class discovery, supervised class prediction, and simulation tasks. By streamlining various processes, it allows users to uncover new patterns in exploratory datasets and engage in hypothesis testing, simulations, and text mining to derive valuable insights. Among its notable features are the automatic cleaning of disorganized Excel input files, parallel feature analysis for generating summary statistics, Shapiro-Wilk tests, histograms, and frequency counts across multiple continuous and categorical variables. The software also supports the simultaneous execution of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests for various variables, while automatically creating multivariable linear, logistic, and Cox proportional hazards regression models based on a pre-set p-value criterion to filter results from univariate analyses. Overall, NXG Logic Explorer serves as a powerful tool for researchers and analysts who seek to enhance their data analysis capabilities efficiently.

This econometric modeling software features an intuitive interface accompanied by one of the most extensive collections of data management tools, enabling you to swiftly and effectively formulate statistical and forecasting equations. You can take advantage of top-notch capabilities such as support for 64-bit Windows large memory, object linking and embedding (OLE), as well as smart edit windows. The software allows for rapid analysis of time series, cross-section, and longitudinal data, making statistical and econometric modeling more efficient. In addition, it enables you to create presentation-quality graphs and tables, facilitating superior budgeting, strategic planning, and academic research. The inclusion of context-sensitive menus enhances usability, while the batch programming language and tools for add-ins or user objects expand functionality. With full command line support and drag-and-drop features, generating forecasts and model simulations becomes a straightforward task. Moreover, EViews 12 continues to deliver the power and ease-of-use that users have come to rely on, ensuring that both beginners and advanced users can maximize their productivity. Its robust capabilities make it an invaluable asset for professionals across various fields.

IBM®, SPSS®, Amos is an advanced structural equation modeling software that extends standard multivariate methods such as regression, factor analysis and correlation. It also allows you to perform analysis of variance. Create behavioral and attitude models that reflect complex relationships more accurately using a graphical or programmatic interface. Amos is included with the Premium edition of SPSS Statistics, except for the Campus edition where it is sold separately. Amos is available as part of SPSS Statistics' base, standard, and professional editions, or as a standalone application.

This cutting-edge software excels in modeling, prediction, and optimization through the use of multivariate statistical analysis and dynamic visual representations. Accelerate product development, enhance quality, and refine processes by effortlessly navigating extensive datasets. By examining a variety of data types, users can quickly obtain improved solutions to practical challenges in product development, quality assurance, and manufacturing. Utilize specialized multivariate statistical analysis techniques tailored for spectroscopy and chemometrics. Seamlessly import material, sensor, process, and spectral data in any format, while enjoying intuitive features for plotting, preprocessing, and modeling spectral information. Achieve superior product classification, ensuring consistent quality across the board. Enhance efficiency by optimizing every stage of the analytical workflow through project-based strategies. Additionally, maintain compliance with regulatory standards such as 21 CFR Part 11 and EU Annex 11 by employing features like compliance mode, digital signatures, passwords, and comprehensive audit trails. This tool not only improves productivity but also empowers users to make informed decisions backed by robust data analysis.

Experience advanced statistical modeling and analysis akin to what you would find in premium statistics software. This package encompasses a range of techniques, including multiple regression and model fitting, ANOVA, ANCOVA, multiple comparisons, principal component analysis (PCA), factor analysis, and hypothesis testing, along with additional tools designed for exploratory data analysis. It also offers statistical process control and quality enhancement tools to ensure customer satisfaction and meet their expectations. Furthermore, it supports regulatory compliance by providing robust analytical and diagnostic method validation and verification. With all the capabilities of Analyse-it, it integrates the features found in other editions seamlessly. Our dedication to developing statistical software spans over 25 years, during which we have built a reputation for producing high-quality solutions, collaborating with major corporations, and consistently delivering on our promise of excellence in analytics. This commitment to quality and innovation ensures that users have access to the most effective tools for their statistical needs.

Examine the return on investment (ROI) through the lens of discounted cash flow analysis while calculating essential ROI indicators, including net present value (NPV). Utilize a sensitivity chart to pinpoint the most significant factors influencing ROI, and incorporate Monte Carlo simulation to account for uncertainties in your analysis. By leveraging standardized online tools grounded in corporate finance principles, you can streamline your processes and enhance efficiency in your evaluations. This comprehensive approach will not only provide deeper insights but also facilitate more informed decision-making.

ModelRisk is an Excel add-in designed for Monte Carlo simulations, enabling users to incorporate uncertainty into their spreadsheet models. Since its inception in 2009, ModelRisk has set the standard for innovation in the industry, pioneering numerous technical features related to Monte Carlo methods that simplify the construction, auditing, and testing of risk models while ensuring they align more closely with real-world challenges. By substituting uncertain values in Excel with specialized ModelRisk probability distribution functions, users can accurately represent the uncertainty surrounding those values. Following this, ModelRisk employs Monte Carlo simulation techniques to automatically produce thousands of possible scenarios. Similar to how Excel serves various analytical purposes, ModelRisk specifically evaluates the uncertainty inherent in the numerical output of Excel models. This tool has been utilized by users across a wide array of industries for risk analysis, showcasing its versatility and effectiveness in addressing uncertainty. Additionally, the ability to visualize the results enhances user understanding and supports informed decision-making.

MedCalc is a statistical package for biomedical research. Statistics includes more than 220 statistical tests and procedures, as well as graphs and methods, including ROC curve analysis and method comparison, and quality control tools.

Keen is shaping the future of marketing mix by providing a comprehensive system that integrates both historical analysis and forward-looking, prescriptive planning, ensuring that marketers can continually refine their spending decisions across various channels while linking them to financial outcomes. This enables businesses to quickly adopt data-driven strategies and incorporate new information on the fly. With Keen’s marketing elasticity engine, users can explore all available channels, including those previously untested, allowing for informed scenario planning that aligns with both financial objectives and risk management. When considering marketing metrics, one often thinks of marketing mix models or multi-touch attribution methods to assess past effectiveness. However, the challenge lies in identifying the best opportunities for future initiatives, particularly in uncharted channels or during times of significant uncertainty, such as during a pandemic. Keen’s SaaS platform empowers users to forecast future performance accurately across all channels, enabling them to make wiser, growth-oriented decisions. This innovative approach not only enhances strategic planning but also helps marketers navigate the complexities of an ever-evolving market landscape.

ChemStat stands out as the most user-friendly and rapid solution for performing statistical evaluations on groundwater monitoring data at RCRA facilities. This application encompasses a wide range of statistical techniques outlined in the 1989 and 1992 USEPA statistical analysis documents, the USEPA Draft Unified Guidance Document, the U.S. Navy Statistical Analysis Guidance document, along with various other recognized guidance and methodologies from esteemed statistical literature. Its remarkable blend of simplicity and cutting-edge technology positions ChemStat as the leading choice for environmental statistical analysis. The constraints on data set size are primarily determined by the computer's memory for the majority of tests, allowing for an extensive array of parameters, wells, and sample dates. Additionally, users can enjoy the flexibility of having limitless parameter names and well label lengths, and they can easily exclude specific data points from their analyses, enhancing the application’s versatility even further. This makes ChemStat an invaluable tool for professionals dealing with complex environmental data.

Automated variable selection helps to pinpoint essential variables along with their interactions, while effective visualization techniques enhance understanding of data and model behaviors. Additionally, the execution of batch commands complements SQL queries and dataset exploration. Pre-processing and post-processing steps are crucial for variable creation and output constraints, among other tasks. Models can be readily deployed through ActiveX (i.e., OCX) controls or DLLs, making implementation straightforward. The suite of advanced modeling algorithms encompasses regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, and genetic algorithms. Predictive Dynamix offers robust computational intelligence software that serves a wide array of applications, including forecasting, predictive modeling, pattern recognition, classification, and optimization, catering to various industries. Leveraging modern neural network technologies, these solutions provide powerful mechanisms for tackling complex challenges in forecasting and pattern recognition. Multi-layer perceptron neural networks are particularly noteworthy for their architecture, enabling multiple coefficients for each input variable, thus enhancing the model's adaptability and accuracy. This versatility in neural network design is crucial for addressing the diverse needs of contemporary data analysis challenges.

GeneXproTools, an award-winning product from Microsoft, is a highly adaptable modeling software that caters to various needs such as regression, logistic regression, classification, time series forecasting, and logic synthesis. Its user-friendly interface allows users to easily import data and generate models with a single click of the Start button. The software comes in five different versions: Home, Standard, Advanced, Professional, and Enterprise, with discounted Academic Versions offered to educational institutions and students. Capable of handling datasets comprising tens of thousands of variables, GeneXproTools excels at identifying and extracting key features and their interconnections. Furthermore, it simplifies access to a wide range of data sources, including raw text files, databases, and Excel spreadsheets, making it accessible even to those without programming experience. This powerful tool empowers users to create robust and precise models without needing any coding knowledge, ensuring that anyone can harness its capabilities.

StatPlus provides a comprehensive suite of statistical tools and graphical analysis methods. It is easy to use through a simple interface. StatPlus can be used in many areas, including sociology, financial analysis and biostatistics. It also has the potential to be used for healthcare, clinical research, and insurance industry. StatPlus is a professional tool for statistical analysis. However, the interface is so easy that even non-statisticians can use it. As long as they are able to use the PC and follow clear instructions, StatPlus can be used to process data. This allows you to focus on the analysis of the results and not worry about who or what processed them, or if there were any errors.

SmartstatXL: Comprehensive Statistical Analysis Within Excel. Harness the complete capacity of your data using SmartstatXL, an Excel add-in that effortlessly incorporates advanced statistical analysis into your well-known spreadsheet platform. This innovative tool aims to streamline your data evaluation workflow by merging the powerful features of statistical software with the user-friendly nature of Excel. Noteworthy Characteristics of SmartstatXL: • Seamless Excel Integration: Conduct intricate data evaluations right inside Excel. SmartstatXL’s seamless integration enables you to utilize Excel’s capabilities while accessing sophisticated statistical tools, eliminating the hassle of toggling between different software. • Broad Range of Analytical Tools: SmartstatXL is packed with an extensive selection of features that cater to various analytical needs, including Descriptive Statistics, Normality Tests, Hypothesis Tests (like t-Tests and z-Tests), and advanced techniques such as Correlation, Regression, ANOVA, Time Series Analysis, Reliability Assessments, Factor Analysis, PCA, and Discriminant Analysis, ensuring all your statistical needs are met efficiently. With SmartstatXL, you can elevate your data analysis to new heights without sacrificing the comfort of your existing tools.

Gain complimentary access to the robust SAS software designed for statistical analysis, data mining, and forecasting. Its intuitive point-and-click interface eliminates the need for programming skills. This allows users to employ the latest statistical and quantitative techniques at any time and from any location. SAS OnDemand for Academics provides access to the same high-caliber analytics tools that over 82,000 organizations globally utilize, including all Fortune 500 companies in sectors such as banking, health insurance, pharmaceuticals, aerospace, e-commerce, and IT services. This opportunity is available to professors, educators, students, and self-learners alike, making it easy to harness the power of SAS software through the cloud. The setup process is straightforward, requiring only a reliable broadband internet connection after initial configuration to utilize this premier analytics platform. Additionally, users can connect with a community of SAS enthusiasts to exchange questions, share insightful ideas, collaborate on various projects, and receive support from peers. Engaging with fellow users can significantly enhance the learning experience and foster professional growth.

Power and Precision is an independent software tool specifically designed for conducting statistical power analysis, which helps users determine the appropriate sample size for their upcoming research projects. With its remarkably intuitive interface, the software offers various resources that aid in comprehending the nuances of power analysis. Users can effortlessly generate tables, graphs, and detailed reports with just a click of a button. An interactive guide is available to lead users through every phase of the power analysis process. It provides a versatile set of tools that allow users to visualize effect sizes and grasp how factors like alpha, effect size, and sample size interact. The generated reports not only serve as educational resources but also can be incorporated into the statistical sections of research proposals or grant applications. Additionally, including the graphical outputs in presentations or grant submissions can effectively support the rationale behind the chosen sample size. This comprehensive approach ensures that users can present their findings clearly and convincingly.

Incorporate optimization and simulation models into your desktop, web, or mobile applications effortlessly by utilizing consistent high-level objects such as Problem, Solver, Variable, and Function, along with their respective collections, properties, and methods across various programming languages. This uniformity extends to a standardized object-oriented API that is accessible remotely via Web Services WS-* standards for clients using languages like PHP, JavaScript, and C#. Additionally, procedural languages are able to invoke traditional calls that align intuitively with the properties and methods of the object-oriented API. The suite of optimization techniques available encompasses linear and quadratic programming, mixed-integer programming, smooth nonlinear optimization, as well as global optimization and non-smooth evolutionary and tabu search methodologies. Furthermore, premier optimization tools from Gurobi™, XPRESS™, and MOSEK™ for handling linear, quadratic, and conic models, along with KNITRO™, SQP, and GRG methods for nonlinear challenges, can be seamlessly integrated into the Solver SDK. You can also effortlessly generate a sparse DoubleMatrix object containing an impressive 1 million rows and columns, making it easier to handle large datasets. This flexibility in creating and managing complex optimization problems allows developers to tailor solutions that meet specific application needs efficiently.

Oriana for Windows is specifically designed to compute the unique statistics needed for circular data, such as angles or directions expressed in degrees, as well as time-related data like the hours of the day, days of the week, and months of the year. The software provides a range of analytical tools that encompass fundamental statistics, including mean vector calculations and confidence intervals, along with single sample distribution tests like Rayleigh's test, as well as pairwise and multisample assessments such as the Watson-Williams F-Test and chi-squared tests, in addition to examining pairwise correlations. Additionally, it offers various graphical representations of your data, such as rose diagrams, circular histograms, and wind roses, which help in revealing underlying patterns effectively. If your work involves analyzing directional data measured in degrees or you are investigating cyclical occurrences throughout the day, week, month, or year, then you are dealing with circular data that necessitates specialized statistical methods. Therefore, Oriana serves as an essential tool for anyone looking to delve into this type of analysis and visualize their findings clearly. By utilizing Oriana, researchers can uncover significant trends and insights from their circular datasets.

Crafted by a team of skilled statisticians and programmers, SUDAAN is a specialized software package intended for researchers handling study data. This software adeptly addresses issues related to correlated observations, clustering, weighting, stratification, and various intricate design elements, making it exceptionally suited for the efficient and precise analysis of data derived from surveys and experimental research. With over 1,400 analysts across government, academic institutions, and private sectors utilizing it, SUDAAN enhances the capabilities of existing statistical software packages. By incorporating SUDAAN into your array of statistical analysis tools, you gain the ability to execute more sophisticated statistical procedures, including weight calibration and imputation, while also accommodating a broader spectrum of survey designs through our thoroughly vetted and reliable solution. Furthermore, SUDAAN’s advanced features can significantly elevate the quality and depth of your analytical outcomes.

statistiXL is an advanced data analysis tool that functions as an add-in for Microsoft Excel on Windows platforms. Designed and developed by scientists, it caters to the rigorous demands of users seeking a comprehensive and adaptable statistical analysis solution that is both user-friendly and quick to master. You can now focus on obtaining results rather than spending excessive time deciphering manuals to conduct necessary analyses. Excel’s extensive features create a perfect platform for data entry, processing, and computation. By utilizing this familiar interface, statistiXL significantly enhances the capabilities of Excel to include sophisticated statistical analysis, eliminating the need to learn a completely new software application. This integration not only saves time but also maximizes efficiency, making it an invaluable resource for researchers and analysts alike.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

NeoAnalyst is an advanced AI-driven platform for data analysis that empowers business executives to obtain swift and accurate insights without needing to possess programming skills or data science knowledge. By allowing users to upload any dataset, NeoAnalyst automatically constructs context, eliminating the need for detailed user guidance or manual data organization. The platform is equipped with hundreds of pre-existing models tailored for both exploratory and statistical analysis, and it also includes 25 AI-generated queries to assist users in initiating their analytical processes. With features such as predictive analytics, visually engaging data representations, and customized recommendations, it significantly enhances the decision-making capabilities of its users. Furthermore, NeoAnalyst offers a variety of subscription options, including a complimentary tier for individuals, making it accessible to professionals from diverse fields. This versatility ensures that the platform can effectively streamline the data analysis workflow for users in numerous industries, ultimately driving better business outcomes.

Cornerstone data analysis software enhances the efficiency of designing experiments and exploring data while allowing users to analyze dependencies and derive actionable insights immediately and interactively, all without requiring programming skills. It facilitates an engineer-friendly approach to executing statistical tasks, freeing users from the complexities of statistical intricacies. The software enables quick detection of correlations within data, even when operating within a Big Data framework. By employing statistically optimized experimental designs, it minimizes the number of experiments needed and accelerates the overall development process. Additionally, it supports rapid identification of usable process models and root-cause analysis through exploratory and visual data examination. Structured planning, efficient data collection, and thorough result analysis further optimize the experiments conducted. Users can easily investigate the impact of noise in process variables on the corresponding responses, and the software automatically captures compact, reusable workflows for future use, making it an invaluable tool for data-driven decision-making. Ultimately, Cornerstone empowers users to streamline their data analysis and experiment processes significantly.

Applying formulas to data without careful consideration often yields minimal benefits beyond the simplest scenarios. Data analysis in the real world involves a complex, multi-step approach, and Data Desk enhances this workflow by enabling the identification of potentially erroneous outliers through a single visual interface, while maintaining your selections as you navigate through various visualizations. This allows you to quickly recognize outliers and trends at a glance. By facilitating the rapid transformation of data into different formats, Data Desk promotes a culture of experimentation and creativity, leading to the development of more effective models. Users can interactively select and categorize data across multiple visualizations in real-time. With Data Desk's intuitive graphical interface, you can create plots and execute advanced analyses, and with just a click, you can export the R or Python code that replicates your work. Additionally, Data Desk ensures that your data is cleaned to meet R's standards, preventing issues with stray characters. Any comments added within your Data Desk environment seamlessly translate into comments in the generated code, enhancing the clarity and usability of your analyses. Such features not only streamline the analytical process but also foster a deeper understanding of the data at hand.

EngineRoom facilitates process enhancement through an extensive array of problem-solving resources. It integrates various graphical, statistical, and modeling instruments that aid in the organization and management of your projects. You can scrutinize your data, oversee projects, and design and map processes effectively. With EngineRoom’s user-friendly drag-and-drop interface, the typically challenging learning curve associated with desktop data analysis tools is significantly reduced. The platform also features interactive, patented wizards that guide users through hypothesis testing and design of experiments (DOE), ensuring accurate data analysis and clear reporting of findings. Additionally, there is no need for installation on individual desktops, management of complex licensing files, or dedicated hard drive space, allowing for immediate access to the platform. By logging into your account through any web browser, you can easily access your projects from anywhere, and when you revisit them, your data and results remain intact just as you left them. This seamless accessibility makes it convenient for users to continue their work without interruption, enhancing productivity and efficiency in project management.

Subjecting your designs to real-world scenarios can significantly enhance product quality while simultaneously minimizing the costs associated with prototyping and physical testing. The SOLIDWORKS® Simulation suite offers a user-friendly collection of structural analysis tools that employ Finite Element Analysis (FEA) to forecast how a product will behave in actual physical conditions by virtually evaluating CAD models. This comprehensive portfolio is equipped with capabilities for both linear and non-linear static and dynamic analyses. With SOLIDWORKS Simulation Professional, you can refine your designs by assessing mechanical resistance, durability, topology, natural frequencies, as well as examining heat transfer and potential buckling issues. Additionally, it facilitates sequential multi-physics simulations to enhance design accuracy. On the other hand, SOLIDWORKS Simulation Premium allows for an in-depth assessment of designs concerning nonlinear and dynamic responses, dynamic loading conditions, and composite materials. This advanced tier also features three specialized studies: Non-Linear Static, Non-Linear Dynamic, and Linear Dynamics, ensuring a thorough evaluation of your engineering projects. By leveraging these powerful tools, engineers can achieve greater design confidence and innovation.

MATLAB® offers a desktop environment specifically optimized for iterative design and analysis, paired with a programming language that allows for straightforward expression of matrix and array mathematics. It features the Live Editor, which enables users to create scripts that merge code, output, and formatted text within an interactive notebook. The toolboxes provided by MATLAB are meticulously developed, thoroughly tested, and comprehensively documented. Additionally, MATLAB applications allow users to visualize how various algorithms interact with their data. You can refine your results through repeated iterations and then easily generate a MATLAB program to replicate or automate your processes. The platform also allows for scaling analyses across clusters, GPUs, and cloud environments with minimal modifications to your existing code. There is no need to overhaul your programming practices or master complex big data techniques. You can automatically convert MATLAB algorithms into C/C++, HDL, and CUDA code, enabling execution on embedded processors or FPGA/ASIC systems. Furthermore, when used in conjunction with Simulink, MATLAB enhances the support for Model-Based Design methodologies, making it a versatile tool for engineers and researchers alike. This adaptability makes MATLAB an essential resource for tackling a wide range of computational challenges.

Microwave Office facilitates the design of various RF passive components, including filters, couplers, and attenuators, along with active devices functioning under small-signal (AC) conditions, such as low noise and buffer amplifiers. Its linear configuration allows for the simulation of S-parameters (Y/Z/H/ABCD), small-signal gain, linear stability, noise figure, return loss, and voltage standing wave ratio (VSWR), complemented by features like real-time tuning, optimization, and yield analysis. Each E-series Microwave Office portfolio encompasses synchronous schematic and layout editors, 2D and 3D viewers, and extensive libraries featuring high-frequency distributed transmission models, as well as surface-mount vendor component RF models complete with footprints. Additionally, it offers measurement-based simulations and RF plotting capabilities. Microwave Office PCB further enhances the design process by enabling both linear and nonlinear RF circuit design through the advanced APLAC HB simulator, which provides powerful multi-rate HB, transient-assisted HB, and time-variant simulation engines for comprehensive RF/microwave circuit analysis. This extensive toolset empowers engineers to push the boundaries of RF design and streamline their development workflows effectively.

Barbecana, a company based in Houston Texas, USA, produces the Full Monte Schedule Risk Analysis, (SRA), Monte Carlo Simulation software Microsoft Project and Oracle Primavera 6 This software will dramatically increase your ability to forecast realistically when you use traditional Critical Path project management methods.

Patran offers an extensive array of tools designed to facilitate the development of models ready for analysis across various domains, including linear and nonlinear problems, explicit dynamics, thermal analysis, and more within finite element solutions. Its geometry cleanup features assist engineers in efficiently addressing issues like gaps and slivers present in CAD designs, while solid modeling capabilities allow users to construct models from the ground up. The software simplifies the mesh generation process on both surfaces and solids through a combination of fully automated meshing routines and manual techniques that afford users greater precision. Additionally, Patran includes built-in options for setting up loads, boundary conditions, and analyses compatible with leading finite element solvers, significantly reducing the need for adjusting input files. With its robust and industry-validated functionalities, Patran ensures that virtual prototyping is not only swift but also effective, enabling users to assess product performance against specific requirements and refine their designs accordingly. As a result, engineers can spend less time on setup and more on innovation and optimization.