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Activity Number: 685
Type: Contributed
Date/Time: Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #309912
Title: Small Sample Properties of JR Estimators
Author(s): John Kloke*+ and Joseph McKean
Companies: University of Wisconsin and Western Michigan University
Keywords: Cluster correlated ; Rank-based ; Monte Carlo ; Mixed Model ; Wilcoxon ; R package
Abstract:

Rank-based estimation in linear models has recently been extended to include cluster correlated data; see Kloke, McKean, and Rashid (2009). These JR estimators have been shown to be asymptotically normal under general mixed models. Asymptotic theory for inferential procedures, including confidence intervals and tests of general linear hypothesis, have also been developed. We conducted a series of Monte Carlo simulations to examine the empirical level and power of JR estimates in small samples. We are also developing an R package for these estimates. In this paper we summarize the results of our simulation study, highlight the software, and make recommendations on use.


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