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Robust Estimators and Test Statistics for One-Shot...
Journal article

Robust Estimators and Test Statistics for One-Shot Device Testing Under the Exponential Distribution

Abstract

This paper develops a new family of estimators, the minimum density power divergence estimators (MDPDEs), for the parameters of the one-shot device model as well as a new family of test statistics, Z-type test statistics based on MDPDEs, for testing the corresponding model parameters. The family of MDPDEs contains as a particular case the maximum likelihood estimator (MLE) considered in Balakrishnan and Ling (2012). Through a simulation study, …

Authors

Balakrishnan N; Castilla E; Martín N; Pardo L

Journal

IEEE Transactions on Information Theory, Vol. 65, No. 5, pp. 3080–3096

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2019

DOI

10.1109/tit.2019.2903244

ISSN

0018-9448