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Searched for: Statistical Topic is Statistical Inference and Techniques -- Nonparametric Techniques
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View Resource Kolmogorov-Smirnov Test

This page introduces the Kolmogorov-Smirnov test, gives background and procedures for the test, and provides a calculation page which allows users to enter their own data and perform the test.
View Resource Statistics Tools

This collection of calculators allows users to perform a number of statistical applications. Each provides background on the procedure and an example. Users can compute Descriptive Statistics and perform t-tests, Chi-square tests, Kolmogorov-Smirnov tests, Fisher's Exact Test, contingency tables, ANOVA, and regression.
View Resource Mann-Whitney Test

This tutorial on the Mann-Whitney test includes its definition, assumptions, characteristics, and hypotheses as well as procedures for graphical comparisons. An example using output from the WINKS software is given, but those without the software can still use the tutorial. An exercise is given at the end that can be done with any statistical software package.
View Resource Kernel Density Estimation

This page will compute a kernel density estimate at a specified number of points, and plot the resulting estimate. Users specify type of kernel, bandwidth value, and the number of points at which the estimate is computed. Users can enter data into a form, enter a URL of a file containing data, or use an example data set. The source code (in R) is also available.
View Resource Introduction to Radial Basis Function Networks

This article introduces Radial Basis Function (RBF) networks. These networks rely heavily on regression analysis techniques. Topics include Nonparametric Regression, Classification and Time Series Prediction, Linear Models, Least Squares, Model Selection Criteria, Ridge Regression, and Forward Selection.
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