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|Title:||A score test for variance components in a semiparametric mixed-effects model under non-normality||Authors:||Sun, Y.
Local linear smoothing
Semiparametric mixed-effects model
|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|
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