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Parametric and Nonparametric Bootstrap Methods for Meta-Analysis
Behavior Research Methods, 2005In a meta-analysis, the unknown parameters are often estimated using maximum likelihood, and inferences are based on asymptotic theory. It is assumed that, conditional on study characteristics included in the model, the between-study distribution and the sampling distributions of the effect sizes are normal.
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Introduction to the Non-Parametric Bootstrap
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