Simple tests of distributional form

Abstract This paper discusses a class of tests, based upon modifications to the goodness-of-fit test, for examining the accord between distributional assumptions and the data-generating process. They are easy to compute, flexible and applicable in a wide range of circumstances, and have intuitive appeal. A Monte Carlo study comparing them to a widely used test for normality is presented.

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