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Activity Number: 607
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract #316402
Title: Improving Efficiency in Structural Equation Modeling by an Easy Empirical Likelihood Approach
Author(s): Hanxiang Peng* and Shan Wang
Companies: Indiana University Purdue University Indianapolis and Indiana University Purdue University Indianapolis
Keywords: discrepancy function ; empirical likelihood ; efficiency ; structural equation models ; maximum empirical likelihood estimates
Abstract:

In this talk, we present an easy empirical likelihood approach to improving efficiency of estimation in structural equation models. We give the asymptotic results and discuss the efficiency gain of the EL-based approach over the usual one. We explain how numerical computation can be obtained by using existing softwares. We illustrate the implementation by simulations and real data applications.

Authors who are presenting talks have a * after their name.

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