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An improved approximation to the precision of fixed effects from restricted maximum likelihood

Computational Statistics & Data Analysis, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michael G. Kenward, James H. Roger
openaire   +2 more sources

On the Efficiency of Generally Balanced Designs Analysed by Restricted Maximum Likelihood

2001
Restricted maximum likelihood (reml) is commonly used in the analysis of incomplete block designs. With this method, treatment contrasts are estimated by generalized least squares, using an estimated variance-covariance matrix of the observations as if it were known.
openaire   +2 more sources

A Ridge Restricted Maximum Likelihood Approach to Spatial Models

2011
Ridge restricted maximum likelihood (RREML) is a new method for regression analysis in linear models with dependent errors. Assume the linear model where the stochastic error terms are not independent, and the covariance structure is a function of some covariance parameter, in this case a spatial covariance parameter.
openaire   +1 more source

A restricted gamma ridge regression estimator combining the gamma ridge regression and the restricted maximum likelihood methods of estimation

Journal of Statistical Computation and Simulation, 2022
Muhammad Qasim   +2 more
exaly  

Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2011
Simon N Wood
exaly  

Stochastic Restricted Maximum Likelihood Estimator in Logistic Regression Model

Open Journal of Statistics, 2015
Nagarajah Varathan   +1 more
exaly  

Biases of the restricted maximum likelihood estimators for ARMA processes with polynomial time trend

Journal of Statistical Planning and Inference, 2003
Dong Wan Shin, Youngjo Lee
exaly  

Graphs in which some and every maximum matching is uniquely restricted

Journal of Graph Theory, 2018
Dieter Rautenbach, Uéverton S Souza
exaly  

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