The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear Models

For the marginal longitudinal generalized linear models (GLMs), we develop the empirical Cressie-Read (ECR) test statistic approach which has been proposed for the independent identically distributed (i.i.d.) case. The ECR test statistic includes empirical likelihood as a special case. By adopting t...

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Main Authors: Junhua Zhang, Ruiqin Tian, Suigen Yang, Sanying Feng
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/738953
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author Junhua Zhang
Ruiqin Tian
Suigen Yang
Sanying Feng
author_facet Junhua Zhang
Ruiqin Tian
Suigen Yang
Sanying Feng
author_sort Junhua Zhang
collection DOAJ
description For the marginal longitudinal generalized linear models (GLMs), we develop the empirical Cressie-Read (ECR) test statistic approach which has been proposed for the independent identically distributed (i.i.d.) case. The ECR test statistic includes empirical likelihood as a special case. By adopting this ECR test statistic approach and taking into account the within-subject correlation, the efficiency theory results of estimation and testing based on ECR are established under some regularity conditions. Although a working correlation matrix is assumed, there is no need to estimate the nuisance parameters in the working correlation matrix based on the quadratic inference function (QIF). Therefore, the proposed ECR test statistic is asymptotically a standard χ2 limit under the null hypothesis. It is shown that the proposed method is more efficient even when the working correlation matrix is misspecified. We also evaluate the finite sample performance of the proposed methods via simulation studies and a real data analysis.
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institution Kabale University
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publishDate 2014-01-01
publisher Wiley
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spelling doaj-art-701d2b352fc7405885706624e6775b152025-02-03T05:48:11ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/738953738953The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear ModelsJunhua Zhang0Ruiqin Tian1Suigen Yang2Sanying Feng3College of Mechanical Engineering, Beijing Information Science and Technology University, Beijing 100192, ChinaCollege of Applied Sciences, Beijing University of Technology, Beijing 100124, ChinaCollege of Applied Sciences, Beijing University of Technology, Beijing 100124, ChinaCollege of Applied Sciences, Beijing University of Technology, Beijing 100124, ChinaFor the marginal longitudinal generalized linear models (GLMs), we develop the empirical Cressie-Read (ECR) test statistic approach which has been proposed for the independent identically distributed (i.i.d.) case. The ECR test statistic includes empirical likelihood as a special case. By adopting this ECR test statistic approach and taking into account the within-subject correlation, the efficiency theory results of estimation and testing based on ECR are established under some regularity conditions. Although a working correlation matrix is assumed, there is no need to estimate the nuisance parameters in the working correlation matrix based on the quadratic inference function (QIF). Therefore, the proposed ECR test statistic is asymptotically a standard χ2 limit under the null hypothesis. It is shown that the proposed method is more efficient even when the working correlation matrix is misspecified. We also evaluate the finite sample performance of the proposed methods via simulation studies and a real data analysis.http://dx.doi.org/10.1155/2014/738953
spellingShingle Junhua Zhang
Ruiqin Tian
Suigen Yang
Sanying Feng
The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear Models
Journal of Applied Mathematics
title The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear Models
title_full The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear Models
title_fullStr The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear Models
title_full_unstemmed The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear Models
title_short The Empirical Cressie-Read Test Statistics for Longitudinal Generalized Linear Models
title_sort empirical cressie read test statistics for longitudinal generalized linear models
url http://dx.doi.org/10.1155/2014/738953
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