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Stats Master

Statistical add-on package for MtxVec

Overview

If your applications requires probability and statistics calculations, our Stats Master statistical software package is just what you need to speed up your application. The languages supported include C#, VB.NET, Delphi and C++Builder.

Stats Master introduces basic and more advanced routines for statistical analysis. Since it's a MtxVec add-on package, it requires the latest MtxVec version installed on your machine.

This package features about 300 different routines (not counting overloads) and several components. The package is built without requiring any additional dlls and full source is available. It takes advantage of major MtxVec features like support for code vectorization, symmetric multiprocessing and a large set of functions already available in MtxVec.

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Stats Master for Delphi/C++ Builder

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Stats Master for Visual Studio .NET

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Stats Master for MtxVec Features

A complete list of all available routines with examples is available in the help file (Delphi, .NET) and below is a short summary:

  • Distributions
    Different distributions (PDF, CDF and inverse CDF for 36 distributions), random number generators, parameter estimate.
  • Descriptive statistics
    Histograms, ogives, cumulative sum, nth moments, percentile, range, IQR, mean, median, mode, ranks and more.
  • Multivariate Analysis
    PCA by using covariance/correlation matrix, PCA residuals, orthogonal rotation of ZScores, Bartlett test for dimensionality and Z-Scores; Classical Multidimensional Scaling, Hotelling T2 test, M-Box test, Item Analysis.
  • Design of Experiment
    Full Factorial Design, Latin HyperCube design, ...
  • Hypothesis testing
    Sign test, Wilcoxon Signed Rank test, one-sample t-test, two-sample paired/unpaired t-test, Z-Test, Chi-Squared test, F-Test, Shapiro-Wilks test, Chi-Squared Goodness of Fit test and Shapiro-Francia test; Berra-Jarque, Anderson-Darling, Kolmogorov-Smirnov test, Mann-Whitney U test, LillioeFors Goodness of Fit test, ...
  • Regression models
    Linear (weighted, unweighted), Multiple linear (weighted, unweighted), Logistic regression, Ridge regression, Poisson regression, General non-linear regression (using the BFGS, Marquardt, Conjugate gradient or Simplex method), one-way and two-way ANOVA, Principal Component Regression.
  • Statistical charts

    Optional with registered TeeChart/TeeChart.NET: Probabilities plot (Normal, Weibull, QQ), variable control charts ( X, R, S and EWMA), attribute control charts (P, NP, U and C), dot plot, box plot, biplot, error ellipses PLUS all major statistical chart types, supported by Steema's TeeChart (error, barr, error bar, pie, box, scatter, scatter 3D, histogram, Pareto and more).

  • Time series analysis
    Sample ACF, PACF, exponential smoothing (single, double, triple), support for ARMA/ARIMA models (simulating, forecasting, estimating coefficients by using Yule-Walker, Burg, Innovations and MLE algorithms), ARAR time series model, moving average, memory-shortening filter, Box-Ljung statistics, etc..
  • Ready-to-use components
    TMtxANOVA (encapsulates ANOVA routines), TMtxMulLinReg (encapsulates multiple linear regression routines), TMtxNonLinReg (encapsulates nonlinear regression routines), TMtxPCA (encapsulates PCA routines), TMtxHypothesisTest (encapsulates hypothesis testing routines), TMtxBinaryTest (encapsulates binary diagonstic test routines), TMtxMDScaling (encapsulates multimensional scaling routines).

For more information on Stats Master, the statistical add-on package for MtxVec math library:

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