By C. R. Henderson (auth.), Prof. Dr. Daniel Gianola, Dr. Keith Hammond (eds.)
Developments in data and computing in addition to their program to genetic development of farm animals won momentum over the past two decades. this article studies and consolidates the statistical foundations of animal breeding. this article will end up important as a reference resource to animal breeders, quantitative geneticists and statisticians operating in those parts. it is going to additionally function a textual content in graduate classes in animal breeding method with prerequisite classes in linear versions, statistical inference and quantitative genetics.
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Extra info for Advances in Statistical Methods for Genetic Improvement of Livestock
Or, equivalently, estimation of the transformation parameter. Hence, the analysis proceeds as described previously. 7 Extensions and Conclusions The basic theory of the Box-Cox transformation has been extended in several directions, including the estimation of a vector of transformation parameters (Box and Tiao 1973), autocorrelated errors (Savin and White 1978), and heterogeneous variance in regression models (Gaudry and Dagenais 1979). Spitzer (1982) and Seaks and Layson (1983) wrote expository papers on the subject, Box and Tidwell (1962) studied transformation of covariates, and Poirier (1978) discussed the Box-Cox transformation when the response variate is truncated-normal.
In: Neyman J (ed) Proc Second Berkeley Symp Math Stat and Prob, pp 449-470 Cockerham CC (1954) An extension of the concept of partitioning hereditary variance for analysis of covariances among relatives when epistasis is present. Genetics 39:859882 Crump SL (1947) The estimation of components of variance in multiple classifications. PhD Thesis, Iowa State Univ Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B 39:1-38 Fernando RL, Gianola D (1986) Optimal properties of the conditional mean as a selection criterion.
In: Dickerson GE, Johnson RK (eds) Proc 3rd World Congr Genet Appl Livest Prod. Agric Commun, Univ Nebraska, Lincoln, Nebraska XII:356-370 Goffmet B (1983) Selection on selected records. Genet Sel EvoI15:91-97 Haldane JBS (1930) A mathematical theory of natural and artificial selection. III. Selection intensity as a function of a mortality rate. Proc Camb Phil Soc Bioi Sci 27: 131-136 Harville DA (1974) Bayesian inference for variance components using only error contrasts. Biometrika 61:383-385 Harville DA (1977) Maximum likelihood approaches to variance component estimation and related problems.
Advances in Statistical Methods for Genetic Improvement of Livestock by C. R. Henderson (auth.), Prof. Dr. Daniel Gianola, Dr. Keith Hammond (eds.)