Results 11 to 20 of about 6,446,441 (278)
Nested Generalized Linear Mixed Models: An Orthodox Best Linear Unbiased Predictor Approach
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2007 SummaryWe introduce a new class of generalized linear mixed models based on the Tweedie exponential dispersion model distributions, accommodating a wide range of discrete, continuous and mixed data. Using the best linear unbiased predictor of random effects, we obtain an optimal estimating function for the regression parameters in the sense of Godambe,
Jørgensen, Bent, Ma, Renjun
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Ekonometria, 2020 The problem of small area prediction is considered under a Linear Mixed Model. The article presents a proposal of an empirical best linear unbiased predictor under a model with two correlated random effects.
Małgorzata K. Krzciuk
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Robustness of the best linear unbiased estimator and predictor in linear regression models [PDF]
Applications of Mathematics, 1990 summary:If is shown that in linear regression models we do not make a great mistake if we substitute some sufficiently precise approximations for the unknown covariance matrix and covariance vector in the expressions for computation of the best linear ...
Štulajter, František
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Estimation of mean square error of empirical best linear unbiased predictors under a random error variance linear model [PDF]
Journal of Multivariate Analysis, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kleffe, J, Rao, J.N.K
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Journal of Dairy Science, 2023 : The validation of estimated breeding values from single-step genomic BLUP (ssGBLUP) is an important topic, as more and more countries and animal populations are currently changing their genomic prediction to single-step.
Judith Himmelbauer +3 more
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An Asymmetric Area Model-Based Approach for Small Area Estimation Applied to Survey Data
Revstat Statistical Journal, 2021 The Birnbaum–Saunders distribution is asymmetrical and has received considerable attention due to its properties and its relationship with the normal distribution. In this paper, we propose a methodology for estimating the mean of small areas based on a
Marcelo Rodríguez +5 more
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Empirical best linear unbiased predictors in multivariate nested-error regression models [PDF]
Communications in Statistics - Theory and Methods, 2019 For analyzing unit-level multivariate data in small area estimation, we consider the multivariate nested error regression model (MNER) and provide the empirical best linear unbiased predictor (EBLUP) of a small area characteristic based on second-order unbiased and consistent estimators of the `within' and `between' multivariate components of variance.
Ito, Tsubasa, Kubokawa, Tatsuya
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On Generalized Upper(k)Record Values From Weibull Distribution
Statistica, 2015 In this paper we study the generalized upper(k)record values arising from Weibull distribution. Expressions for the moments and product moments of those generalized upper(k)record values are derived.
Jerin Paul, Poruthiyudian Yageen Thomas
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An empirical Bayes derivation of best linear unbiased predictors [PDF]
International Journal of Mathematics and Mathematical Sciences, 2002 Let (Y1, θ1), …, (Yn, θn) be independent real‐valued random vectors with Yi, given θi, is distributed according to a distribution depending only on θi for i = 1, …, n. In this paper, best linear unbiased predictors (BLUPs) of the θi′s are investigated. We show that BLUPs of θi′s do not exist in certain situations.
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REVISTA BRASILEIRA DE BIOMETRIA, 2021 We develop best linear unbiased predictors (BLUP) of the latent values of labeled sample units selected from a finite population when there are two distinct sources of measurement error: endogenous, exogenous or both. Usual target parameters are the population mean, the latent values associated to a labeled unit or the latent value of the unit that ...
German MORENO +2 more
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