REVIEW 1 cited by
Simulation Studies For Goodness-of-Fit and Two-Sample Methods For Univariate Data
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
We present the results of a large number of simulation studies regarding the power of various goodness-of-fit as well as nonparametric two-sample tests for univariate data. This includes both continuous and discrete data. In general no single method can be relied upon to provide good power, any one method may be quite good for some combination of null hypothesis and alternative and may fail badly for another. Based on the results of these studies we propose a fairly small number of methods chosen such that for any of the case studies included here at least one of the methods has good power. The studies were carried out using the R packages R2sample and Rgof, available from CRAN.
Forward citations
Cited by 1 Pith paper
-
Priority-preserving augmentation of goodness-of-fit tests by conditional calibration
Augmenting an omnibus test with conditionally calibrated secondary statistics and a small Type I error budget preserves primary power and sharply increases sensitivity to feature-specific departures.
Discussion (0). Continue with ORCID to comment.