ASYMPTOTIC-DISTRIBUTION OF TEST STATISTICS IN THE ANALYSIS OF MOMENT STRUCTURES UNDER INEQUALITY CONSTRAINTS
成果类型：
Article
署名作者：
SHAPIRO, A
署名单位：
University of South Africa
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2336343
发表日期：
1985
页码：
133144
关键词：
摘要：
The analysis of moment structural models has become an important tool of investigation in behavioral, educational and economic studies. The chi-squared large-sample test is routinely employed to assess the goodness of fit of the model considered. To invoke the standard asymptotic distribution theory certain regularity conditions have to be met. The case where the population value of the parameter vector is a boundary point of the feasible region is considered. In this case the asymptotic distribution of test statistic is a mixture of chi-squared distributions. The problem of finding the corresponding weights is discussed.