NMath Stats 3.0 Description:

NMath Stats is a useful application that contains classes for data manipulation, statistical computation, and biostatistics.

NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more; PDF, CDF, inverse CDF, and random variable moments for a variety of probability distributions, including normal (Gaussian), Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial; Combinatorial functions, such as factorial, log factorial, binomial coefficient, and log binomial; Multiple linear regression; Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated measures (RANOVA); Partial least squares (PLS) with cross validation and the NIPALS and SIMPLS algorithms; Non-negative matrix factorization (NNMF); Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis

NMath Stats 3.0 Features:

· A data frame class for holding data of various types (numeric, string, boolean, datetime, and generic), with methods for appending, inserting, removing, sorting, and permuting rows and columns
· Functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more
· Special functions, such as factorial, log factorial, binomial coefficient, log binomial, log gamma, incomplete gamma, beta, and incomplete beta
· Probability density function (PDF), cumulative distribution function (CDF), inverse CDF, and random variable moments for a variety of probability distributions, including normal (Gaussian), Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial
· Multiple linear regression
· Basic hypothesis tests, such as z test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals
· One-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated measures (RANOVA)
· Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis

NMath Stats 3.0 Requirements:

· Microsoft .NET Framework
· NMath Core

NMath Stats 3.0 Limitations:

· 30 days trial

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