HIGHLIGHTS
- who: Kaidi Kang from the (UNIVERSITY) have published the research work: Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices, in the Journal: (JOURNAL)
- what: The aim of this paper is to establish an accurate interval estimation procedure for the RESI and establish a framework for the analysis of effect sizes based on the RESI. As a solution, the authors propose bootstrap interval construction procedures and evaluate their coverage performance through simulations in various scenarios. The authors show the nonparametric bootstrap CI with the robust estimator of the RESI is . . .
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