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Semiparametric inference of proportional odds model based on randomly truncated data

Authors :
Sundaram, Rajeshwari
Source :
Journal of Statistical Planning & Inference. Apr2009, Vol. 139 Issue 4, p1381-1393. 13p.
Publication Year :
2009

Abstract

Abstract: This paper studies the estimation in the proportional odds model based on randomly truncated data. The proposed estimators for the regression coefficients include a class of minimum distance estimators defined through weighted empirical odds function. We have investigated the asymptotic properties like the consistency and the limiting distribution of the proposed estimators under mild conditions. The finite sample properties were investigated through simulation study making comparison of some of the estimators in the class. We conclude with an illustration of our proposed method to a well-known AIDS data. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
03783758
Volume :
139
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Statistical Planning & Inference
Publication Type :
Academic Journal
Accession number :
35926611
Full Text :
https://doi.org/10.1016/j.jspi.2008.08.006