MAXIMUM-LIKELIHOOD AND GENERALIZED LEAST-SQUARES ANALYSES OF 2-LEVEL STRUCTURAL EQUATION MODELS

被引：5

作者：

POON, WY ^{[1
]}

LEE, SY ^{[1
]}

机构：

[1] CHINESE UNIV HONG KONG,DEPT STAT,SHA TIN,HONG KONG

来源：

STATISTICS & PROBABILITY LETTERS | 1992年 / 14卷 / 01期

关键词：

2-LEVEL STRUCTURAL EQUATION MODELS; UNBALANCED DESIGNS; MAXIMUM LIKELIHOOD; GENERALIZED LEAST SQUARES;

D O I：

10.1016/0167-7152(92)90206-K

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：

A two-level structural equation model with small level-one samples and unbalanced designs is treated. Under the assumption of normality, the maximum likelihood and generalized least squares methods are employed to analyze the model. Asymptotic properties of the estimators are discussed. Results of a Monte Carlo study investigating the performance of the estimators are reported.

引用

页码：25 / 30

页数：6

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