Bootstrap Approximation to Prediction MSE for State-Space Models with Estimated Parameters
, 2004 We propose a simple but general bootstrap method for estimating the Prediction Mean Square Error (PMSE) of the state vector predictors when the unknown model parameters are estimated from the observed series.
Pfeffermann, Danny, Tiller, Richard
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Robust Henderson III estimators of variance components in the nested error model [PDF]
Common methods for estimating variance components in Linear Mixed Models include Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). These methods are based on the strong assumption of multivariate normal distribution and it is well know ...
Betsabé Pérez +2 more
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Evaluating potential bias of REML estimators of heritability
, 2018 Genomic models that incorporate dense SNP genotypes are increasingly being used and studied for inference of variance parameters and narrow-sense heritability. The variance parameters of a linear mixed model linking a phenotype to SNP genotypes can be inferred using restricted maximum likelihood, which produces consistent, asymptotically normal ...
Cuyabano, Beatriz C. D. +2 more
openaire +1 more source
, 2019 Mobile health is a rapidly developing field in which behavioral treatments are delivered to individuals via wearables or smartphones to facilitate health-related behavior change.
Klasnja, Predrag +2 more
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Genetic Properties of Some Economic Traits in Isfahan Native Fowl Using Bayesian and REML Methods [PDF]
Poultry Science Journal, 2015 The objective of the present study was to estimate heritability values for some performance and egg quality traits of native fowl in Isfahan breeding center using REML and Bayesian approaches.
Salehinasab M +3 more
doaj
A quasi-likelihood approach to the REML estimating equations
Statistics & Probability Letters, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Restricted Maximum Likelihood Estimation of Variance Components for Univariate Animal Models Using Sparse Matrix Techniques and Average Information [PDF]
, 1995 JOHNSON, DL, THOMPSON, R
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Bayesian and Frequentist Approaches to Hedonic Modeling in a Geo-Statistical Framework [PDF]
We compare Least Squares, Maximum Likelihood and Bayesian approaches to estimation in a Hedonic context. The approaches are compared from theoretical and practical perspectives and from the viewpoint of a policy maker or urban planner. The approaches are
Carriazo, Fernando, Ghosh, Gaurav S.
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Semi-parametric regression estimation of the tail index [PDF]
, 2018 Dickson, Maria Michela +2 more
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"A Review of Linear Mixed Models and Small Area Estimation" [PDF]
The linear mixed models (LMM) and the empirical best linear unbiased predictor (EBLUP) induced from LMM have been well studied and extensively used for a long time in many applications.
Tatsuya Kubokawa
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