Dew.Stats.Linux 6.2.3

There is a newer version of this package available.
See the version list below for details.
dotnet add package Dew.Stats.Linux --version 6.2.3
                    
NuGet\Install-Package Dew.Stats.Linux -Version 6.2.3
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Dew.Stats.Linux" Version="6.2.3" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Dew.Stats.Linux" Version="6.2.3" />
                    
Directory.Packages.props
<PackageReference Include="Dew.Stats.Linux" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Dew.Stats.Linux --version 6.2.3
                    
#r "nuget: Dew.Stats.Linux, 6.2.3"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package Dew.Stats.Linux@6.2.3
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Dew.Stats.Linux&version=6.2.3
                    
Install as a Cake Addin
#tool nuget:?package=Dew.Stats.Linux&version=6.2.3
                    
Install as a Cake Tool

Dew Stats Library for .NET Core

Statistical library built on top of Dew Math Linux Library includes among other features:

  • Different probability 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 separate assembly depending on Steema 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).

Examples

Documentation

Product Compatible and additional computed target framework versions.
.NET net7.0 is compatible.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Dew.Stats.Linux:

Package Downloads
Dew.Lab.Studio.Linux

Dew.Lab.Studio.Linux bundles the native-accelerated Linux editions of the Dew libraries: Dew.Math.Linux, Dew.Signal.Linux, and Dew.Stats.Linux. This package is intended for Linux desktops, servers, HPC clusters, and container-based compute environments requiring high numerical throughput and scalable parallel execution. Included Components: - Dew.Math.Linux: dense and sparse linear algebra (BLAS/LAPACK, Pardiso, UMFPACK), complex arithmetic, interpolation and splines, spectral and polynomial transforms, optimization, curve fitting, special function library, numerical integration/differentiation - Dew.Signal.Linux: FIR/IIR filtering, FFT and spectral analysis, convolution/correlation, windowing, resampling, time-frequency transforms, streaming-friendly DSP operations - Dew.Stats.Linux: probability distributions, random sampling, inference tests, regressions, statistical modeling and simulation workflows Performance Architecture: - Native-accelerated BLAS/LAPACK for Linux - CPU feature dispatch (AVX / AVX2 / AVX-512) - Scalable multithreading with low-GC memory allocator - Optional OpenCL GPU acceleration when available Use Dew.Lab.Studio.Linux when you require a unified math + DSP + statistics environment on Linux, with full native acceleration and container/HPC-friendly runtime deployment.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
6.3.8 38 11/16/2025
6.3.7 69 11/15/2025
6.3.5 198 11/8/2025
6.2.3 274 5/18/2024
6.2.2 233 5/1/2024
6.2.1 247 4/25/2024 6.2.1 is deprecated.
6.0.91 1,396 3/1/2022