Estimation of variance components in random models
نویسندگان
چکیده
منابع مشابه
Estimation of Variance Components for Body Weight of Moghani Sheep Using B-Spline Random Regression Models
The aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of Moghani sheep, using random regression models based on B-Splines functions. The data set included 9165 body weight records from 60 to 360 days of age from 2811 Moghani sheep, collected between 1994 to 2013 from Jafar-Abad Animal Research and Breeding Institute, Ardabil province,...
متن کاملestimation of variance components for body weight of moghani sheep using b-spline random regression models
the aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of moghani sheep, using random regression models based on b-splines functions. the data set included 9165 body weight records from 60 to 360 days of age from 2811 moghani sheep, collected between 1994 to 2013 from jafar-abad animal research and breeding institute, ardabil province,...
متن کاملVariance Components Estimation in Generalized Orthogonal Models
The model y = ∑w j=1 Xjβj + e is generalized orthogonal if the orthogonal projection matrices on the range spaces of matrices Xj , j = 1, ..., w, commute. Unbiased estimators are obtained for the variance components of such models with cross-nesting.
متن کاملVariance Components Estimation in a K-way Nested Random Effect Models
This work aims to presented the k way nested random models (designs) and discuss the estimators for the variance components in this kind of models presented by Henderson (1953), proposing condition concern their existence, as well as its two proposed modifications presented by Khattree (1999). At the first proposal, where he choose to sacrifice the unbiasedness of the Henderson's one to preserv...
متن کاملcomparison of conventional bayesian and approximate bayesian approaches in estimation of variance components using animal models
animal models are used to model the observations of animal performance that are genetically dependent.these models are considered as generalized linear mixed models and the genetic correlation structure of data is considered through random effects of breeding values. one goal of the mentioned models is to estimate variance components. in this research, an approximate bayesian approach presented...
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ژورنال
عنوان ژورنال: Applicationes Mathematicae
سال: 1973
ISSN: 1233-7234,1730-6280
DOI: 10.4064/am-13-4-521-527