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http://dx.doi.org/10.5351/KJAS.2003.16.1.055

LAD Estimators for Categorical Data Analysis  

최현집 (경기대학교 경제학부 응용정보통계전공)
Publication Information
The Korean Journal of Applied Statistics / v.16, no.1, 2003 , pp. 55-69 More about this Journal
Abstract
In this article, we propose the weighted LAD (least absolute deviations) estimators for multi-dimensional contingency tables and drive an estimation method to estimate the proposed estimators. To illustrate the robustness of the estimators, simulation results are presented for several models Including log-linear models and models for ordinal variables in multidimensional contingency tables. Examples were also introduced.
Keywords
Multi-dimensional Contingency Tables; LAD Estimators; Outlying Cells; IRWLS methods;
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