Comparison of naïve, Kenward-Roger, and parametric bootstrap interval approaches to small-sample inference in linear mixed models

Vincent S. Staggs. Comparison of naïve, Kenward-Roger, and parametric bootstrap interval approaches to small-sample inference in linear mixed models. Communications in Statistics - Simulation and Computation, 46(3):1933-1943, 2017. [doi]

Abstract

Abstract is missing.