Evidence for goodness of fit in Karl Pearson chi-squared statistics

DOI10.1080/02331888.2020.1862115zbMath1465.62049arXiv1912.01134OpenAlexW3119183425MaRDI QIDQ4987233

R. G. jun. Staudte

Publication date: 29 April 2021

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.01134

zbMATH Keywords

Kullback-Leibler divergencerandom number generatoreffect sizeover-dispersionequivalence testingvariance stabilizing transformation

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Random number generation in numerical analysis (65C10)

Uses Software

• R

Cites Work

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• Efficiencies of chi-square and likelihood ratio goodness-of-fit tests
• Better than you think: interval estimators of the difference of binomial proportions
• Advantages of Variance Stabilization
• The shapes of things to come: probability density quantiles
• Combining Statistical Evidence
• Meta Analysis
• The χ 2 -Test of Significance
• On Information and Sufficiency
• The $\chi^2$ Test of Goodness of Fit
• The Use of Maximum Likelihood Estimates in $\chi^2$ Tests for Goodness of Fit
• Moving to a World Beyond “p < 0.05”
• The Tale of Cochran's Rule: My Contingency Table has so Many Expected Values Smaller than 5, What Am I to Do?

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