The chi-square test, likelihood ratio test, and other goodness of fit tests in a family are shown to have monotonic power functions, and hence are unbiased, for testing a simple hypothesis that all ...
A statistical test that allows one to determine whether observed quantities of a specific characteristic differed from the expected value purely by chance.
A weakness of the chi-square goodness-of-fit test is its dependence on the choice of histogram midpoints. An advantage of the EDF tests is that they give the same results regardless of the midpoints, ...
The degrees of freedom for the chi-square test is equal to m-p-1. You can save the observed and expected interval percentages in the OUTFIT= data set discussed in "Output Data Sets". Note that empty ...
Residuals and the Residual-Based Statistic for Testing Goodness of Fit of Structural Equation Models
The residuals obtained from fitting a structural equation model are crucial ingredients in obtaining chi-square goodness-of-fit statistics for the model. The authors present a didactic discussion of ...
R is the perfect language for creating a variety of chi-square tests, which are used to perform statistical analyses of counts of data. Here's how, with some sample code. A chi-square test (also ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results