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.
Continuous DistributionsPermalink
Illustrates how to use the classes that represent continuous probability distributions in the Numerics.NET.Statistics.Distributions namespace.
Analysis of VariancePermalink
One-Way AnovaPermalink
Illustrates how to use the OneWayAnovaModel class to perform a one-way analysis of variance.
Repeated Measures AnovaPermalink
Illustrates how to use the OneWayRAnovaModel class to perform a one-way analysis of variance with repeated measures.
Two-Way AnovaPermalink
Illustrates how to use the TwoWayAnovaModel class to perform a two-way analysis of variance.
Regression AnalysisPermalink
Simple RegressionPermalink
Illustrates how to perform a simple linear regression using the SimpleRegressionModel class.
Multiple Linear RegressionPermalink
Illustrates how to use the LinearRegressionModel class to perform a multiple linear regression.
Polynomial RegressionPermalink
Illustrates how to fit data to polynomials using the PolynomialRegressionModel class.
Logistic RegressionPermalink
Illustrates how to use the LogisticRegressionModel class to create logistic regression models.
Generalized Linear ModelsPermalink
Illustrates how to use the GeneralizedLinearModel class to compute probit, Poisson and similar regression models.
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.
Variable TransformationsPermalink
Illustrates how to perform a range of transformations on statistical data.
ARIMA ModelsPermalink
Illustrates how to work with ARIMA time series models using classes in the Numerics.NET.Statistics.TimeSeriesAnalysis namespace.
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.
Principal Component Analysis (PCA)Permalink
Illustrates how to perform a Principal Component Analysis using classes in the Numerics.NET.Statistics.Multivariate namespace.
Factor Analysis (FA)Permalink
Illustrates how to perform a Factor Analysis using classes in the Numerics.NET.Statistics.Multivariate namespace.
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.
Variance TestsPermalink
Illustrates how to perform hypothesis tests involving the standard deviation or variance using classes in our .NET statistical library.
Goodness-Of-Fit TestsPermalink
Illustrates how to test for goodness-of-fit using classes in the Numerics.NET.Statistics.Tests namespace.
Homogeneity Of Variances TestsPermalink
Illustrates how to test a collection of variables for equal variances using classes in the Numerics.NET.Statistics.Tests namespace.
Non-Parametric TestsPermalink
Illustrates how to perform non-parametric tests like the Wilcoxon-Mann-Whitney test and the Kruskal-Wallis test.