Goodness-of-fit testing forms a fundamental pillar in statistical methodology, providing robust tools to assess whether observed data conform to a proposed probability distribution. These tests are ...

The Annals of Statistics, Vol. 26, No. 4 (Aug., 1998), pp. 1215-1241 (27 pages) We develop a nonparametric Bayes factor for testing the fit of a parametric model. We begin with a nominal parametric ...

Several new test procedures are proposed for assessing the goodness of fit of a postulated multinomial distribution. The new tests are Neyman smooth-type tests with orders selected adaptively from the ...

Goodness-of-fit testing is a cornerstone of statistical methodology, providing robust means to assess whether empirical data align with a hypothesised distribution. Such tests underpin diverse ...