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http://dx.doi.org/10.5351/KJAS.2010.23.6.1235

Trimmed LAD Estimators for Multidimensional Contingency Tables  

Choi, Hyun-Jip (Department of Information Statistics, Kyonggi University)
Publication Information
The Korean Journal of Applied Statistics / v.23, no.6, 2010 , pp. 1235-1243 More about this Journal
Abstract
This study proposes a trimmed LAD(least absolute deviation) estimators for multi-dimensional contingency tables and suggests an algorithm to estimate it. In addition, a method to determine the trimming quantity of the estimators is suggested. A Monte Carlo study shows that the propose method yields a better trimming rate and coverage rate than the previously suggest method based on the determinant of the covariance matrix.
Keywords
Contingency tables; log-linear models; weighted LAD estimator; trimmed LAD estimator;
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Times Cited By KSCI : 2  (Citation Analysis)
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