Fit indices
Introduction
The goodness of fit of a statistical model describes how well a set of observations fits. Goodness measures generally summarize the discrepancy between the observed values and the expected values in the study model. Such measures can be used in hypothesis testing, e.g. the normality test") of the residuals, check if two samples are obtained from two identical distributions (see Kolmogorov-Smirnov test), or if the frequencies follow a specific distribution (see chi-square).
Distributions
To calculate whether a given distribution fits a data set, the following tests can be used:.
Regressions
In regression analysis, there are the following indicators:.