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The robustness of the likelihood ratio test, the nonparametric sum rank test, and f-ratio tests when the populations are from the negative binomial family

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Publication:3670364
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DOI10.1080/03610918308812340zbMath0521.62029OpenAlexW2029535655MaRDI QIDQ3670364

Roy L. Sanford, Lawrence I-Kuei Lin

Publication date: 1983

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918308812340


zbMATH Keywords

robustnesspowerPoisson distributiongeometric distributionnegative binomialsignificance levelKruskal- Wallis sum rank testmutagenesis tests


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Robustness and adaptive procedures (parametric inference) (62F35) Monte Carlo methods (65C05)


Related Items (1)

Analyzing over-dispersed count data in two-way cross-classification problems using generalized linear models



Cites Work

  • Alternative Models for the Analysis of Variance




This page was built for publication: The robustness of the likelihood ratio test, the nonparametric sum rank test, and f-ratio tests when the populations are from the negative binomial family

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