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Hypothesis testing for components of the shifted multiplicative model for a nonadditive two-way table

 

作者: Mahmoud S. Seyedsadr,   Paul L. Cornelius,  

 

期刊: Communications in Statistics - Simulation and Computation  (Taylor Available online 1993)
卷期: Volume 22, issue 4  

页码: 1065-1078

 

ISSN:0361-0918

 

年代: 1993

 

DOI:10.1080/03610919308813142

 

出版商: Marcel Dekker, Inc.

 

关键词: Interaction;Multiplicative model;Nonadditive data;Likelihood ratio test;Stepwise procedures;Monte Carlo simulation;Model selection

 

数据来源: Taylor

 

摘要:

To determine the number of multiplicative components in a shifted multiplicative model (SHMM) for a r × c table (c≤r) given bylikelihood ratio tests of Ho: λt= 0 versus Ha:λt≠0, λt+1=0 are developed in a stepwise procedure with t successively set equal to 1,…,p − 1, where p=min(r−1,c). For t = 1, the empirical distribution and percentage points of the likelihood ratio test statistic are obtained through a Monte Carlo simulation study. Distribution of the likelihood ratio test statistic is also approximated by a Beta distribution. For t ≥ 2, a method analogous to one developed by Marasinghe (1985) and Schott (1986) for the additive main effect and multiplicative interaction (AMMI) modelis used, namely, that the tthterm is tested as thought it is the first term for a (r−t+1)×(c−t+1)table. Type I error rates for tests of λ2and λ3agreed closely with nominal significant levels 0.01,0.05 and 0.10 if previous λ values were sufficiently large, but tended to be conservative otherwise. The procedure is illustrated with two examples from the literature

 

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