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 ...
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 ...
The Annals of Statistics, Vol. 46, No. 5 (October 2018), pp. 2479-2510 (32 pages) This paper investigates a class of goodness-of-fit tests for fitting an error ...
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 ...
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