Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
WinSTAT serves as a powerful statistics Add-In for Microsoft Excel, providing comprehensive information about its features and benefits. Are you fed up with complex statistics software that requires expert-level knowledge? Discover why WinSTAT could be the ideal solution for your needs. Curious if it includes the functions and visualizations that you're looking for? Explore the function reference page, which showcases sample outputs for various tables and graphics associated with all functions. If you're still on the fence, the best way to determine its value is to experience WinSTAT firsthand. You can easily download the demo right here. We genuinely believe that WinSTAT will play a pivotal role in your statistical endeavors, so why wait? Take the step towards a brighter future in data analysis by ordering WinSTAT today. Among its offerings are regression analysis techniques such as linear, multiple, and polynomial regression, as well as correlation methods like Pearson, Spearman, and partial correlation. Additionally, it provides statistical tests including dependent and independent t-tests, along with various visualizations such as box-plots, scatterplots, histograms, and probit charts. Moreover, WinSTAT includes goodness-of-fit tests like Kolmogorov-Smirnov and Shapiro-Wilk, along with the Chi-square test, giving you a robust toolkit for your statistical needs.
Description
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.
API Access
Has API
No
API Access
Has API
No
Integrations
Pascal
No
Python
No
Pricing Details
$99.00
Free Trial
No
Free Version
No
Pricing Details
€289
ndCurveMaster WIN/MAC – Web Download
LIFETIME License
LIFETIME License
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
R. Fitch Software
Website
www.winstat.com
Vendor Details
Company Name
SigmaLab Tomas Cepowski
Founded
2017
Country
Poland
Website
www.ndcurvemaster.com
Product Features
SPC
Corrective Actions (CAPA)
No
Data Entry
Yes
Data Linking
No
Data Management
No
Excel Loader
No
Job Management
No
OPC Data Collection
No
Performance Metrics
No
Point-of-Production Analysis
No
Real Time Data Collection
No
Regulatory Compliance
No
Product Features
Statistical Analysis
Analytics
Yes
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
Yes
Statistical Simulation
Yes
Survival Analysis
No
Time Series
No
Visualization
Yes