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On the Efficiency of Generally Balanced Designs Analysed by Restricted Maximum Likelihood
2001Restricted 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.
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A Ridge Restricted Maximum Likelihood Approach to Spatial Models
2011Ridge 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.
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A MAXIMUM LIKELIHOOD ESTIMATOR FOR A MODEL IDENTIFIED WITH VARIANCE‐COVARIANCE RESTRICTIONS
Metroeconomica, 1973Smith, V. Kerry, Patton, R. A.
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Stochastic Restricted Maximum Likelihood Estimator in Logistic Regression Model
Open Journal of Statistics, 2015Nagarajah Varathan +1 more
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Biases of the restricted maximum likelihood estimators for ARMA processes with polynomial time trend
Journal of Statistical Planning and Inference, 2003Weechang Kang +2 more
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Graphs in which some and every maximum matching is uniquely restricted
Journal of Graph Theory, 2018Lucia Draque Penso +2 more
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