Estimation of Variance Components
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 ...the estimation of ...
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A NOTE ON ESTIMATION OF VARIANCE COMPONENTS BY MAXIMIZATION
... the estimation 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 ...
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Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models
... to estimation of multiple variance components or penalty parameters, which was addressed by iterative likelihood minorization (Zhou et ...moment estimation (Van de Wiel et ...of ...
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Estimation of variance components and breeding values
... In addition, 40% of the excluded records in the raw data were shorter than 240 days which may cause a bias in the genetic trend estimation. The Russian Federation and the Leningrad region are not members of ICAR ...
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Simulation Studies on Estimation of Variance Components for Multilevel Models
... By assuming that the bias of the estimator with respect to the original sample is close to the bias of the estimator of the resamples of the artificial population, we study a procedur[r] ...
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Estimation of variance components for carcass and production traits in Guzerat cattle
... genetic variance component, 2 e : residual variance component, REA: rib eye area, BFT: backfat thickness, RFT: rump fat thickness, IMF: intramuscular fat percentage, DMI: dry matter intake, ADG: average ...
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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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ESTIMATION OF VARIANCE COMPONENTS OF INTERNODE LENGTH IN A CLONED POPULATION OF MIMULUS GUTTATUS
... With respect to the relative usefulness of these analyses, the clonal analysis provides good estimates of the environmental component of variance, the total genetic c[r] ...
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Restricted Maximum Likelihood Estimation of Variance Components for Univariate Animal Models Using Sparse Matrix Techniques and Average Information
... An algorithm is described to estimate variance components for a univariate an- imal model using REML. Sparse matrix techniques are employed to calculate those elements of[r] ...
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Fixed Effects and Variance Components Estimation in Three-Level Meta-Analysis
... the estimation of variance components of random effects at the third ...between-researcher variance of study-specific effect size ...unit variance is different from zero and there are ...
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Methods of variance component estimation
... ABSTRACT: Estimation of variance components is a method often used in population genetics and applied in animal ...of variance component ...
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Estimation of Epistatic Variance Components and Heritability in Founder Populations and Crosses
... of variance attributable to genetic interactions, which is difficult to measure in outbred ...the variance decomposition to include ...the variance from pairwise interactions with samples of a few ...
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Estimation of additive and dominance variance for litter size components in rabbits
... models, similar tendencies were received and the magnitudes of the decreases for h 2 and p 2 values of NBA and NBD were 5.5 and 29% and 13 and 52%, respectively and the same remark can be made as for the single-trait ...
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Monitoring Variance Components
... For use on the manufacturing floor, I propose a different format that is based on the V-mask repre- sentation of CUSUM schemes, which preserves in- formation contained [r] ...
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Estimation of (co) variance components and genetic parameters for growth traits in Arman sheep
... Keywords: maternal effects, body weights, animal model, (co) variance components Received: 2 Jan. 2013, accepted: 5 Mar. 2013, published online: 28 Apr. 2013 Introduction Small ruminants play an important ...
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Estimation of ratios of variance components in the unbalanced one way random effects model
... The point estimation of the ratio of variance components and the intraclass correlation coefficient for the unbalanced one way random ef- fects model are considered.. ANOVA, REML, ML, MI[r] ...
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Automatic variance control and variance estimation loops
... where 0< β <1 is the forgetting factor which controls the bandwidth and the time constant of the first order recursive digital filter. For a typical speech signal, using β =0.95 can be made to work although the estimate ...
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Confidence intervals for variance components and functions of variance components in the random effects model under non-normality
... CHAPTER 5. CONCLUSION AND FUTURE WORK Over the past several decades, the random effects model has been widely used to model experiments in many different fields. In all of these fields, it is important for researchers ...
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Bayesian estimation of (co) variance components in Argentinian Brangus for carcass traits using the FCG algorithm
... La Asociación Argentina de Brangus ha recolectado una base de datos de caracteres de res (área de ojo de bife, marmoreado, grasa dorsal y grasa de cadera), para su [r] ...
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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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