Results 301 to 310 of about 8,447,173 (379)

On Seifert's ANOVA-like test for variance components

, 2000
Viktor Witkovský
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Recommendations for estimation of variance components for international sire evaluation

, 2013
A.M. Tyrisevä, Karin Meyer, F Fikse, Vincent Ducrocq, Jette Jakobsen, Martin Lidauer, E.A. Mäntysaar   +6 more
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Variance components and genetic parameters for body weight and fleece traits of Merino sheep in an arid environment

, 1996
M.A. Synman, J.J. Olivier, W.J. Olivier
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Variance Components

1992
Shayle R. Searle, George Casella, Charles E. McCulloch   +2 more
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Variance components for discordances

Mathematical Biosciences, 1992
Tests for biotyping isolates give a result that is classified as either positive or negative, indicative of growth or nongrowth of bacteria. The reproducibility of such tests is measured by the number of discordances in replicates of the same measurement.
Z, Jiao, K M, Matawie, C A, McGilchrist
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On estimation of variance components*

Statistica Neerlandica, 1980
SummaryIn this survey paper the estimation of variance components is given. The least squares approach in variance component estimation is a unifying principle which includes the analysis of variance estimators and the MINQUE. When normality is assumed the maximum likelihood estimators can be used. Many variance component estimators are not permissible
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Components of variance: a miscellany

Statistical Methods in Medical Research, 1998
Some general issues connected with components of variance are reviewed. These include matters of definition, of formal inference in a normal-theory context, of goodness of fit, and of simple methods for unbalanced data.
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Nonlinear Regression With Variance Components

Journal of the American Statistical Association, 1992
Abstract The nonlinear model with variance components, which combines a nonlinear model for the mean with additive random effects, is applicable to split-plot and nested experiments. We propose two methods of estimation for the parameters of the nonlinear model for the mean: (1) estimated generalized least squares (EGLS), and (2) maximum likelihood ...
Marcia L. Gumpertz, Sastry G. Pantula
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COMPONENTS OF VARIANCE MODELS WITH TRANSFORMATIONS

Australian Journal of Statistics, 1996
SummaryPower transformations are a popular way to improve the agreement between the observations and the assumptions in a statistical model. In this paper it is assumed that the data, after appropriate power transformation Λ, satisfies a variance components model, with independent Gaussian components. The focus is on inference for quantities which have
Taylor, Jeremy M. G., Cumberland, William G., Meng, Xiangyi   +2 more
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