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Restricted maximum likelihood (reml) is a variant of maximum likelihood when estimation is based on some transformations of the data, typically to residuals.
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How does case-resampling bootstrap work for positive-value estimators?
For example, REML estimates of variance of random effects in random/mixed effect models, or estimates of information gain in classification trees. … Now suppose you want to use a REML estimator. The model with and without the random effect are not comparable using the likelihood test. So why not try a case-resampling bootstrap? …