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Software package for Multivariate Data Analysis and Experimental Design
A powerful statistics and statistical analysis add-in for Microsoft Excel
Collection of advanced forecasting algorithms for Equis Metastock(R)
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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.
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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.
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Collection of advanced forecasting algorithms: ARIMA with automatic best parameter set search and smart seasonal trend detection. Stepwise multivariate regression with the selection of the best regression subset. Proven backhistory. Full intraday capable.
Real-time speed in model training. Ready to use professional style Expert Advisors, Indicators and System Testers. Open scripts for for writing your own trading strategies.
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FreeFore is a freeware version of AUTOBOX which has been developed and marketed by Automatic Forecasting Systems to build Box-Jenkins models (a super-set of regression and time series models .. ARIMA ) for univariate and multivariate data. It uses automatic modeling heuristics (not pick best) with intervention detection. It tailors the forecast model to the problem at hand including selecting the best lead and lag structures for each input seri..
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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,
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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..
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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.
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Regression Tester from Info-Pack.com allows you to test the functionality of any page or form on your website.
Simply build up a list of tests in the program, then press the test button.
The program will then run the tests and create a professional report.
The reports are fully customizable.
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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.
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vTest is an automated functional and regression testing tool for web applications. It incorporates record, verify, playback and reporting capabilities. vTest does not require a programming background. For those users who wish to use scripting, it uses JavaScript as the scripting language. vTest supports both Microsoft Internet Explorer and Mozilla Firefox.
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