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Robust semiparametric inference for polytomous...
Journal article

Robust semiparametric inference for polytomous logistic regression with complex survey design

Abstract

Analyzing polytomous response from a complex survey scheme, like stratified or cluster sampling is very crucial in several socio-economics applications. We present a class of minimum quasi weighted density power divergence estimators for the polytomous logistic regression model with such a complex survey. This family of semiparametric estimators is a robust generalization of the maximum quasi weighted likelihood estimator exploiting the …

Authors

Castilla E; Ghosh A; Martin N; Pardo L

Journal

Advances in Data Analysis and Classification, Vol. 15, No. 3, pp. 701–734

Publisher

Springer Nature

Publication Date

September 2021

DOI

10.1007/s11634-020-00430-7

ISSN

1862-5347

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