Generalized linear modeling methods for selection component experiments
DOI10.1016/0040-5809(90)90045-WzbMath0713.92013OpenAlexW2089792982MaRDI QIDQ750350
Christopher J. Williams, Wyatt W. Anderson, Jonathan Arnold
Publication date: 1990
Published in: Theoretical Population Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0040-5809(90)90045-w
maximum likelihoodgeneralized linear modelmodel specificationanalysis of deviancebest fitting modelfitting selection component modelsgenotypic frequenciesiteratively reweighted least squares procedureoverdispersed dataquasi-likelihood methodsResistant fittingselection componentsTesting nested hypotheses
Applications of statistics to biology and medical sciences; meta analysis (62P10) Problems related to evolution (92D15) Genetics and epigenetics (92D10)
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Cites Work
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- Selection component analysis of natural polymorphisms using population samples including mother-offspring combinations. II
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- Rejection of Outliers
- Comparing Non-Nested Linear Models
- Analysis of contingency tables under cluster sampling
- Composite Link Functions in Generalized Linear Models
- Efficient Bounded-Influence Regression Estimation
- Modelling the Extraneous Variance in the Presence of Extra-Binomial Variation
- Robust Statistics
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