Article ID Journal Published Year Pages File Type
1153888 Statistics & Probability Letters 2007 6 Pages PDF
Abstract

Rosenblatt's transformation has been used extensively for the evaluation of model goodness-of-fit, but it only applies to models whose joint distribution is continuous. In this paper we generalize the transformation so that it applies to arbitrary probability models. The transformation is simple, but has a wide range of possible applications, providing a tool for exploratory data analysis and formal goodness-of-fit testing for a very general class of probability models. The method is demonstrated with specific examples.

Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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