Statistics in Visual Basic

Probability DistributionsPermalink

Discrete DistributionsPermalink

Illustrates how to use the classes that represent discrete probability distributions in the Numerics.NET.Statistics.Distributions namespace.

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Continuous DistributionsPermalink

Illustrates how to use the classes that represent continuous probability distributions in the Numerics.NET.Statistics.Distributions namespace.

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Analysis of VariancePermalink

One-Way AnovaPermalink

Illustrates how to use the OneWayAnovaModel class to perform a one-way analysis of variance.

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Repeated Measures AnovaPermalink

Illustrates how to use the OneWayRAnovaModel class to perform a one-way analysis of variance with repeated measures.

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Two-Way AnovaPermalink

Illustrates how to use the TwoWayAnovaModel class to perform a two-way analysis of variance.

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Regression AnalysisPermalink

Simple RegressionPermalink

Illustrates how to perform a simple linear regression using the SimpleRegressionModel class.

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Multiple Linear RegressionPermalink

Illustrates how to use the LinearRegressionModel class to perform a multiple linear regression.

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Polynomial RegressionPermalink

Illustrates how to fit data to polynomials using the PolynomialRegressionModel class.

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Logistic RegressionPermalink

Illustrates how to use the LogisticRegressionModel class to create logistic regression models.

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Generalized Linear ModelsPermalink

Illustrates how to use the GeneralizedLinearModel class to compute probit, Poisson and similar regression models.

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Time Series AnalysisPermalink

Simple Time SeriesPermalink

Illustrates how to perform simple operations on time series data using classes in the Numerics.NET.Statistics.TimeSeriesAnalysis namespace.

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Variable TransformationsPermalink

Illustrates how to perform a range of transformations on statistical data.

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ARIMA ModelsPermalink

Illustrates how to work with ARIMA time series models using classes in the Numerics.NET.Statistics.TimeSeriesAnalysis namespace.

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Multivariate AnalysisPermalink

Cluster AnalysisPermalink

Illustrates how to use the classes in the Numerics.NET.Statistics.Multivariate namespace to perform hierarchical clustering and K-means clustering.

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Principal Component Analysis (PCA)Permalink

Illustrates how to perform a Principal Component Analysis using classes in the Numerics.NET.Statistics.Multivariate namespace.

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Factor Analysis (FA)Permalink

Illustrates how to perform a Factor Analysis using classes in the Numerics.NET.Statistics.Multivariate namespace.

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Hypothesis TestsPermalink

Mean TestsPermalink

Illustrates how to use various tests for the mean of one or more sanples using classes in the Numerics.NET.Statistics.Tests namespace.

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Variance TestsPermalink

Illustrates how to perform hypothesis tests involving the standard deviation or variance using classes in our .NET statistical library.

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Goodness-Of-Fit TestsPermalink

Illustrates how to test for goodness-of-fit using classes in the Numerics.NET.Statistics.Tests namespace.

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Homogeneity Of Variances TestsPermalink

Illustrates how to test a collection of variables for equal variances using classes in the Numerics.NET.Statistics.Tests namespace.

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Non-Parametric TestsPermalink

Illustrates how to perform non-parametric tests like the Wilcoxon-Mann-Whitney test and the Kruskal-Wallis test.

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