General Methods for Evolutionary Quantitative Genetic Inference from Generalized Mixed Models
نویسندگان
چکیده
منابع مشابه
General Methods for Evolutionary Quantitative Genetic Inference from Generalized Mixed Models
Methods for inference and interpretation of evolutionary quantitative genetic parameters, and for prediction of the response to selection, are best developed for traits with normal distributions. Many traits of evolutionary interest, including many life history and behavioral traits, have inherently nonnormal distributions. The generalized linear mixed model (GLMM) framework has become a widely...
متن کاملGeneral methods for evolutionary quantitative genetic inference from generalised mixed models
1 Methods for inference and interpretation of evolutionary quantitative genetic pa2 rameters, and for prediction of the response to selection, are best developed for traits 3 with normal distributions. Many traits of evolutionary interest, including many life 4 history and behavioural traits, have inherently non-normal distributions. The gen5 eralised linear mixed model (GLMM) framework has bec...
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ژورنال
عنوان ژورنال: Genetics
سال: 2016
ISSN: 1943-2631
DOI: 10.1534/genetics.115.186536