Goodness-of-fit tests are developed using simulated hyperrectangular and highest-density-region confidence sets for joint distributions of multiple sample statistics, with simulations indicating competitive or superior power to classical and graphical methods.
Supplemental studies for simultaneous goodness-of-fit testing, 2020
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Goodness of Fit Tests Based on Joint Densities of Multiple Sample Statistics
Goodness-of-fit tests are developed using simulated hyperrectangular and highest-density-region confidence sets for joint distributions of multiple sample statistics, with simulations indicating competitive or superior power to classical and graphical methods.