Results 11 to 20 of about 3,367,709 (291)
Restricted Type II Maximum Likelihood Priors on Regression Coefficients [PDF]
Bayesian Analysis, 2020 In Bayesian hypothesis testing and model selection, prior distributions must be chosen carefully. For example, setting arbitrarily large prior scales for location parameters, which is common practice in estimation problems, can lead to undesirable behavior in testing (Lindley's paradox).
Peña Pizarro, Víctor, Berger, James O.
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Performa Restricted Maximum Likelihood and Maximum Likelihood Estimators on Small Area Estimation [PDF]
Journal of Physics: Conference Series, 2018 In this paper, it was studied performance of maximum likelihood and restricted maximum likelihood method to estimate random factor on small area estimation. To evaluate of their performances, it was used mean square error as criteria. Based on data simulation, it was found that mean square error of restricted maximum likelihood estimator smaller than ...
Muhammad Nusrang +3 more
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Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
Biometrics, 1997 Restricted maximum likelihood (REML) is now well established as a method for estimating the parameters of the general Gaussian linear model with a structured covariance matrix, in particular for mixed linear models. Conventionally, estimates of precision and inference for fixed effects are based on their asymptotic distribution, which is known to be ...
Kenward, M. G., Roger, J. H.
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Maximum Likelihood and Restricted Likelihood Solutions in Multiple-Method Studies
Journal of Research of the National Institute of Standards and Technology, 2011 A formulation of the problem of combining data from several sources is discussed in terms of random effects models. The unknown measurement precision is assumed not to be the same for all methods. We investigate maximum likelihood solutions in this model.
Rukhin, Andrew L.
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Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]
, 2011 We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite ...
Sonja Greven +5 more
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Variance component analysis of growth and production traits in Vanaraja male line chickens using animal model [PDF]
Animal Bioscience, 2021 Objective A comprehensive study was conducted to study the effects of partition of variance on accuracy of genetic parameters and genetic trends of economic traits in Vanaraja male line/project directorate-1 (PD-1) chicken.
Rajkumar Ullengala +4 more
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On the inefficiency of the restricted maximum likelihood [PDF]
Statistica Neerlandica, 2015 The restricted maximum likelihood is preferred by many to the full maximum likelihood for estimation with variance component and other random coefficient models, because the variance estimator is unbiased. It is shown that this unbiasedness is accompanied in some balanced designs by an inflation of the mean squared error.
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TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks [PDF]
Hydrology and Earth System Sciences, 2015 We introduce topological restricted maximum likelihood (TopREML) as a method to predict runoff signatures in ungauged basins. The approach is based on the use of linear mixed models with spatially correlated random effects.
M. F. Müller, S. E. Thompson
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Barekeng, 2022 The Program for International Student Assessment (PISA), becomes one of the references or indicators used to assess the development of students' knowledge and skills in each member country of the Organization for Economic Cooperation and Development ...
Vera Maya Santi +3 more
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