Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/104965
Title: A score test for variance components in a semiparametric mixed-effects model under non-normality
Authors: Sun, Y.
Zhang, J.-T. 
Keywords: Extended quasi-likelihood
Laplace approximation
Local linear smoothing
Score test
Semiparametric mixed-effects model
Variance components
Issue Date: 2011
Citation: Sun, Y.,Zhang, J.-T. (2011). A score test for variance components in a semiparametric mixed-effects model under non-normality. Statistics and its Interface 4 (1) : 65-72. ScholarBank@NUS Repository.
Abstract: In this paper, we propose a score test for variance components in a semiparametric mixed-effects model when the random-effects and measurement errors are not normally distributed. The asymptotic null distribution of the test statistic is shown to be a simple chi-squared distribution with the degrees of freedom being the number of linearly-independent variance components. The simulation results show that the proposed score test is robust against the nonnormality of the random-effects and the measurement errors and performs well in terms of both size and power. The score test is illustrated via an application to a real longitudinal data set collected in a clinical trial study.
Source Title: Statistics and its Interface
URI: http://scholarbank.nus.edu.sg/handle/10635/104965
ISSN: 19387989
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

16
checked on Mar 9, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.