An improved likelihood ratio test for varying dispersion in exponential family nonlinear models

被引:6
|
作者
Cysneiros, AHMA
Ferrari, SLP
机构
[1] Univ Sao Paulo, Dept Estatist, IME, BR-05508090 Sao Paulo, Brazil
[2] Univ Fed Pernambuco, Dept Estatist, CCEN, BR-50740540 Recife, PE, Brazil
关键词
Bartlett correction; exponential family; likelihood ratio test; nonlinear models; profile likelihood; varying dispersion;
D O I
10.1016/j.spl.2005.08.010
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper considers the issue of testing for varying dispersion in exponential family nonlinear models. We obtain a Bartlett correction to the modified profile likelihood ratio test given by Wei et a]. [Testing for varying dispersion in exponential family nonlinear models. Ann. Inst. Statist. Math. 50 (1998) 277-294.1. Our results generalize those in Ferrari et a]. [An improved test for heteroskedasticity using adjusted modified profile likelihood-inference. J. Statist. Plann. Inf. 124 (2004) 423-4376.1 which are confined to normal linear regression models. Our numerical results show that the corrected test we propose displays reliable finite sample behavior and outperforms the ordinary and the modified profile likelihood ratio tests. (c) 2005 Elsevier B.V. All rights reserved.
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页码:255 / 265
页数:11
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