Variance components models and the distinction between
MM Algorithms for Variance Components Models.
... E(Y ) = Xβ and Cov(Y ) = σ 2 I , where β is the unknown parameter. Thus the response variables are assumed to be independent of each other and to have equal variance. However, in many applications, reponses are ...
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Variance Components of Models of Sudoku Square Design
... Variance components are different sources to the variation in an observation and are commonly estimated in the course of determining sampling design, establishing quality control procedure or in statistical ...
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On the specification of prior distributions for variance components in disease mapping models
... mapping models; we illustrated only one possible specification strategy and others could be ...different models, especially those based on a log-normal likelihood or involving a log-normal prior, as in the ...
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Testing multiple variance components in linear mixed-effects models
... multiple variance components, especially for testing a subset of ...the variance least square estimator of variance ...multiple variance components and any subset of them in ...
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Adjusted variance components for unbalanced clustered binary data models
... Unbalanced Clustered Binary Data Models An unequal cluster size with a binary outcome is common in many areas of application, especially in medical research. Sample size formulas for cluster ran- domized trials ...
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Confidence intervals for intraclass correlation coefficients in variance components models
... linear models due to the complexity of bootstrapping variance components, the complexity of multiple clusters, and the diversity of bootstrap ...on variance components has been ...
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On non-negative estimation of variance components in mixed linear models
... Conclusions In this article, two new estimators based on IAUE principle are introduced for estimating the variance components in the mixed linear model. The aim of this article was to evaluate the ...
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Search for the Optimum Variance Components Estimates in Mixed Effects Models
... Minimum Variance (MINVAR) quadratic estimators 20 , the Minimum Mean Square (MIMS) quadratic estimators 16 ...estimated variance components under certain distributional assumptions, the explicit ...
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THE COMPONENTS OF VARIANCE AND THE CORRELATIONS BETWEEN RELATIVES IN SYMMETRICAL RANDOM MATING POPULATIONS
... These results are applied in the present paper to the case of random mating populations for which the genotypic value of a genotype is symmetrical with respect to the compone[r] ...
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Estimating Modifying Effect of Age on Genetic and Environmental Variance Components in Twin Models
... twin models, our analyses with a large-scale Finnish twin data set (19,510 MZ twins and 27,312 DZ same-sex twins) discover that the variances of the A, C, and E components for body mass index (BMI) change ...
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Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models
... and errors, respectively. These variances relate directly to ridge regres- sion penalty k and heritability index h 2 , often used in genetics. Several estimators of these, either based on cross-validation (CV) or maximum ...
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Confidence intervals for variance components and functions of variance components in the random effects model under non-normality
... for variance components when the random effects or the errors are not normally ...equal variance, and equal sample size, the current confidence interval methods work well, but unlike inferential ...
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Maximum likelihood estimation of variance components
... the variance components model can be used to describe data arising in fields as diverse as designed experiments in agriculture and observational studies in the social ...of variance components ...
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Estimation of variance components and breeding values
... linear models have been applied for predicting breeding values of dairy cattle in most of the developed coun- tries since the ...both models (FLM vs MLM): 59 vs 56 kg year -1 for milk, ...difference ...
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Likelihood inference for small variance components
... the variance components have been estimated by REML ...the variance components of a general mixed ...interpolate between the boundary and non-boundary ...
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A NOTE ON ESTIMATION OF VARIANCE COMPONENTS BY MAXIMIZATION
... of variance components in the one-way repeated measurements model (one-way- RMM),which contains one within- units factor incorporating one random effects one between- units factor as well as the ...
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Etiological distinction of working memory components in relation to mathematics.
... overlap between visuo- spatial sketchpad and mathematics was due to generalist genes responsible for the overlap between numerous cognitive domains, indicated that visuo-spatial sketchpad had distinct ...
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Variance Components Models for Analysis of Big Family Data of Health Outcomes in the Lifelines Cohort Study
... several variance components models that account for heritability and shared environment ...differences between physical and mental quality of life ...
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Variance Components Models for Physical Activity With Age as Modifier: A Comparative Twin Study in Seven Countries
... When data on physical activity were available from more than one survey in a country, we used the most recent survey completed by both twins. If only one twin had completed the most recent survey, we searched for the ...
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Estimates of Variance Components for Gilt Retention Traits.
... of Variance Components for Gilt Retention ...estimate variance components among traits of importance to gilt retention in modern swine ...(CFO). Variance components were ...
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