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Regression Analysis Software

Programs 1-10 of 50 Pages: 1 2 3 4 5 [Next]
Software package for Multivariate Data Analysis and Experimental Design
Producing statistically sound value driver identification for forecasting data
Easy to use Statistical Analysis and Inference for Windows
The Unscrambler 9.6
The Unscrambler® helps you discover patterns and relationships in your data that traditional statistical methods and visual inspection cannot reveal. The Unscrambler®'s Multivariate Curve Resolution (MCR), Derivatives, Principal Components Analysis (PCA), PLSR Analysis, and Experimental Design capabilities are unparalleled. Readers of “Scientific Computing” cited it as one of the Top Five products in terms of ease of use and visualization.
10 / 10
Regression Analysis and Forecasting 1.0
The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies.
8 / 10
ESBStats - Statistical Analysis Software 2.1.0
Statistical Analysis and Inference Software for Windows covering everything from Average, Mode and Variance through to Hypothesis Analysis, Time Series and Linear Regression. Includes Online Help, Tutorials, Graphs, Summaries, Import/Export, Customisable Interface, Calculator, Live Spell Check, Install/Uninstall and much more.
6 / 10
Multiple Regression Forecasting for twodownload 4.39
The Multiple Regression Forecasting template provides a solid basis for identifying value drivers and forecasting data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis,
6 / 10
Multiple Regression Forecasting 1.0
The Multiple Regression Forecasting model provides a solid basis for identifying value drivers and forecasting data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies.The intuitive step-by-step usage flow enables you to devel..
6 / 10
statistiXL 1.7
statistiXL is a powerful data analysis add-in for Microsoft Excel. It has been written by scientists to meet the needs of anyone requiring a versatile statistics package that is quick to learn and easy to use. Tests include: ANOVA, Contingency Tables, Cluster Analysis, Correlation (Simple, Multiple, Canonical), Discriminant and Factor Analysis, Goodness of Fit, Regression, Nonparametric Tests, PCA, Uni and Multivariate t-Tests and many more.
5 / 10
DTREG 3.0
DTREG is a powerful statistical analysis program that generates classification and regression decision trees that model data and can be used to predict values. Single-tree, TreeBoost and Decision tree Models can be created.
3 / 10
Advanced Grapher 2.11
Powerful but easy-to-use graphing, curve fitting and calculating software. Graphs Cartesian, polar and parametric functions, graphs of tables, implicit functions, inequalities and slope fields. Up to 100 graphs in one window. Calculus features: regression analysis, intersections, derivatives, tangents, normals and more. The program has printing capabilities, multi-document interface, customizable toolbars.
3 / 10
Optimal Data Analyses 2.0
Optimal Data Analyses uses a powerfull algorithm based on Artificial Intelligence techniques that may be used for solving data analysis problems such as symbolic regression and classification. The purpose of symbolic regression is to find a function (mathematical expression) that satisfies a set of fitness cases (data). The purpose of classification is to find a function that separates a set of data.
3 / 10
CaterpillarSSA 3.30
The program is based on the powerful model-free method of time series analysis Caterpillar-SSA (Singular Spectrum Analysis). The result of the Caterpillar-SSA processing is identification, analysis and forecast of additive components of time series (trends, periodicities, noise). The program can be applied to multivariate analysis/forecasting and change-point detection.
3 / 10
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