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Description
Intellectus Statistics is a user-friendly yet thorough statistics program designed to meet diverse analytical needs. At the heart of this simplicity is Intellectus’ innovative AutoDrafting technology, which automatically generates a clear written interpretation of statistical results. This allows students, faculty, and researchers to perform analyses without needing extensive statistical knowledge. The output, which is editable and provided in Word format, is articulated in straightforward English and includes tables, figures, and references formatted according to APA 7th style. By fully replacing outdated software, Intellectus streamlines the process of conducting, interpreting, and reporting analyses, making it accessible and transparent. Many students find themselves overwhelmed when it comes to selecting appropriate statistical methods, navigating tools like SPSS, or interpreting complex results. The intuitive interface of Intellectus Statistics simplifies the selection and execution of statistical tests, effectively narrating the data story in an easily understandable manner. This platform prioritizes the needs of students, providing a practical and efficient research tool that enhances their learning experience. Ultimately, Intellectus Statistics empowers users to approach data analysis with confidence.
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
API Access
Has API
Integrations
Pascal
Python
Pricing Details
$35 per year
Free Trial
Free Version
Pricing Details
€289
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IntellectusStatistics
Founded
2013
Country
United States
Website
www.intellectusstatistics.com
Vendor Details
Company Name
SigmaLab Tomas Cepowski
Founded
2017
Country
Poland
Website
www.ndcurvemaster.com
Product Features
Higher Education
Admissions Management
Alumni Management
Assessment Management
Curriculum Management
Faculty / Staff Management
Financial Aid Management
Fundraising Management
Housing Management
Scheduling
Student Information / Records
Student Portal
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization