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# NMath Stats 3.4

## NMath Stats 3.4

### NMath Stats 3.4 Ranking & Summary

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User Review: 0 (0 times)
File size: 14.7MB
Platform: Windows 7, Windows Server 2003, Windows Me, W
Price: \$495.00

### NMath Stats 3.4 description

NMath Stats 3.4 is addressed at a very useful and versatile .NET statistics library containing classes for data manipulation, statistical computation, and biostatistics.

Major Features:

1. 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.
2. Functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more.
3. Special functions, such as factorial, log factorial, binomial coefficient, log binomial, log gamma, incomplete gamma, beta, and incomplete beta.
4. Probability density function (PDF), cumulative distribution function (CDF), inverse CDF, and random variable moments for a variety of probability distributions, including beta, binomial, chi-square, exponential, F, gamma, geometric, logistic, log-normal, negative binomial, normal (Gaussian), Poisson, Student's t, triangular, and Weibull distributions.
5. Multiple linear regression.
6. Basic hypothesis tests, such as z test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals.
7. One-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated measures (RANOVA).
8. Non-parametric tests, such as the Kolmogorov-Smirnov test and Kruskal-Wallis rank sum test.
9. Multivariate statistical analyses, including principal component analysis, hierarchical cluster analysis, and k-means cluster analysis.
10. Nonnegative matrix factorization (NMF), and data clustering using NMF.
11. Partial least squares (PLS), including cross validation and the SIMPLS and NIPALS algorithms.
12. Data filtering, including a moving average filter and a Savitzky-Golay smoothing filter.
13. Plotting using the Microsoft Chart Controls for .NET.

Requirements:

• NMath Stats depends on NMath, the foundational library in the NMath product suite. NMath must be installed on your system prior to building or executing NMath Stats code.
• Use of Microsoft Visual Studio .NET (or other .NET IDE) is strongly encouraged. However, the .NET Framework includes command line compilers for .NET languages, so an IDE is not strictly required.

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