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Hypothesis testing in frailty models for arbitrarily censored and truncated data

Artemiou, Andreas 2007. Hypothesis testing in frailty models for arbitrarily censored and truncated data. Communications in Dependability and Quality Management 10 (1) , pp. 110-121.

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Abstract

n this paper we examine the behaviour of the generalized likelihood ratio test for the structural parameter in frailty models used in the case of complicated observational schemes such as arbitrarily censored and truncated data. The sizes and powers of the tests are given and compared under different circumstances, e.g. under misspecification of the frailty distribution among others. Hypothesis testing in frailty models for arbitrary censored and truncated data - ResearchGate. Available from: http://www.researchgate.net/publication/264895076_Hypothesis_testing_in_frailty_models_for_arbitrary_censored_and_truncated_data [accessed Sep 23, 2015].

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Subjects: Q Science > QA Mathematics
Last Modified: 04 Jun 2017 08:20
URI: http://orca.cf.ac.uk/id/eprint/76047

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