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Showing 1 to 20 of 60 for “"Variance components"”.
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Sampling Errors of Variance Components in Multifacet Generalizability Studies
Made available in DSpace on 2014-12-12T19:54:17Z (GMT). No. of bitstreams: 1 7624179.pdf: 7855537 bytes, checksum: d3dd369394a1b8a04290c0f27b7175d8 (MD5) Previous issue date: 1976
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Variance Components of litter size in Icelandic farmed mink (Neovison vison)
An analysis of variance components and a study of pedigree structure was carried out using Icelandic field data. Data from six farms was included, total of 88°928 animals in the pedigree. Two methods were employed, MCMC Gibbs sampler method and REML. The two different methods gave similar results. …
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Estimation of Variance Components in Finite Polygenic Models and Complex Pedigrees
… (IM) for estimating both additive and dominance variance for a wide range of genetic models. Analysis under an additive five-loci FPM by either a deterministic Maximum Likelihood (DML) or a Markov chain Monte Carlo (MCMC) Bayesian method (BGS) produced accurate estimates of narrow-sense …
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A computer simulation study for comparing three methods of estimating variance components
Typescript (photocopy).
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A computer simulation study for comparing three methods of estimating variance components
Typescript (photocopy).
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Challenge and threat states: An examination of variance components, interventions, and performance
… personal and person by situation interactional components, suggesting that these factors are promising targets for interventions. The next two studies showed that three established interventions for optimising performance by targeting psychological function (instructional and motivational …
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Modified BIC for Model Selection in Linear Mixed Models
… mixed model includes both fixed effects and variance components parameters. When selecting the variance components of the random effects, the variance of the random effects must be non-negative and therefore, parameters may lie on the boundary of the parameter space. In this dissertation, we …
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Inheritance and Genetic Correlations of Certain Traits in Modified Endosperm Texture Opaque-2 Maize (Zea Mays L.)
… modified o2 lines, and xenia effects, genetic variance components, and genetic correlations were determined in a modified population Synthetic Disease Oil o2o2. Variance components were estimated from analyses of S(,1) and S(,2)/S(,1) families and S(,1) progeny means. Plant height, 100 kernel …
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Greenhouse growth of Pinus x rigitaeda seedlings in response to water stress and correlations with 7 year plantation performance
… in moisture stress. It appears that genetic variance components in P. x rigitaeda may have importance under one set of environmental conditions, and be unimportant in another. Inter-relationship of crosses and confounding of genetic expectations, however, make it difficult to speculate which …
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Genetic and Genetic-Feeding Regimen Interaction Effects on Lactation, Growth and Carcass Traits in Dairy Cattle
… of ADG (gave lower mean square error of ADG and variance components) than the usual estimator, which itself was better than ordinary least-squares regression.
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On the principle of MINQUE for the estimation of variance and covariance components
… method can be used if some information about the variance components is available in the form of an a priori guess. Chaubey (1977) outlines the extension for estimating the elements of a covariance matrix using this principle. The method extends easily for the case when no a priori guess of the …
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Studies on Estimation of Genetic Variances Under Nonadditive Gene Action
… additive, dominance and additive x additive variances in a population in linkage equilibrium. The theory employed for objective (1) involves an extension of Henderson's rapid method for inverting a numerator relationship matrix, and the approach taken was based on a recursive relationship …
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Interactions of Sires With Feeding and Management Factors in Illinois Holstein Cows
The objectives of this research were to estimate components of phenotypic variation in milk yield due to the interactions between sires and several feeding and management factors and to examine the implications of the estimated interactions in sire evaluation for milk yield. Data on feeding and …
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Bayesian analysis of multivariate stochastic volatility and dynamic models
… of both the regression coefficients and the covariance matrix of the error term. Efficient parametrization of the time varying covariance matrices is studied using different modified Cholesky decompositions. We propose a hierarchal approach for selection of the volatility equation's variance …
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Sources of Variability in a Proteomic Experiment
… that variation. The variation due to the machine components, including the mass spectrometer itself, was much greater than the variation in the preprocessing steps. This conclusion inspires future studies to investigate which part of the machine steps is causing the most variation.
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Regularized weighted Chebyshev approximations for support estimation
… method, jointly optimizing the bias and variance components of the risk, and combining the weighted minmax polynomial approximation method with discretized semi-infinite programming solvers. Such a setting allows for casting the estimation problem as a linear program (LP) with a small …
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"Validation of an academic listening test: Effects of ""breakdown"" tests and test takers' cognitive awareness of listening processes"
… A Generalizability study and an analysis of variance (ANOVA) were conducted to measure the breakdown effect on the test. The result of generalizability study showed that variance components for interaction between person and items were larger than variance components for person, which …
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Genetic Parameters of Foal Inspection Scores in the International Sporthorse Registry and Oldenburg Registry North America
… or non-Thoroughbred dams were also removed. Variance components were estimated using ASReml methodology to obtain genetic parameters. Traits were moderately to highly heritable with heritabilities of 0.45, 0.47, 0.49, and 0.55 for TC, AM, OD, and TS, respectively. PS had a heritability of …
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Inheritance of Soluble Oligosaccharides in Soybean Seeds
Sucrose, raffinose, and stachyose make up the majority of the carbohydrates in soybean seeds. While sucrose is a desirable component of soybean seeds, raffinose and stachyose are considered to be anutritive factors and eliminating or reducing them appears to be a beneficial endeavour. The major …
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Issues and challenges in current generalizability theory applications in rated measurement
… of fully crossed sub-datasets and then estimates variance components based on a weighted average across these sub-datasets, while the rating method forces a sparse dataset to be a fully crossed one by conceptualizing ratings as a random facet and then estimates variance components by the usual …
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