Premium
Developments from analysis of variance through to generalized linear models and beyond
Author(s) -
Payne R.W.
Publication year - 2014
Publication title -
annals of applied biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 80
eISSN - 1744-7348
pISSN - 0003-4746
DOI - 10.1111/aab.12091
Subject(s) - restricted maximum likelihood , bliss , maximum likelihood , generalized linear mixed model , generalized linear model , variance (accounting) , linear model , statistics , biology , probit model , econometrics , mixed model , mathematics , computer science , accounting , programming language , business
The collaborations between statisticians and biologists during the 100 years since AAB was founded have led to a very impressive list of statistical techniques, whose use now goes well beyond agriculture and biology. One example is the maximum likelihood methodology for probit analysis, arising from the collaboration between Sir Ronald Fisher and Chester Bliss. Others include analysis of variance, design of experiments, generalized linear models and the residual, or restricted, maximum likelihood ( REML ) algorithm for fitting unbalanced linear mixed models.