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Parameter Estimation for Partially Complete Time and Type of Failure Data
Authors:Debasis Kundu
Abstract:The theory of competing risks has been developed to asses a specific risk in presence of other risk factors. In this paper we consider the parametric estimation of different failure modes under partially complete time and type of failure data using latent failure times and cause specific hazard functions models. Uniformly minimum variance unbiased estimators and maximum likelihood estimators are obtained when latent failure times and cause specific hazard functions are exponentially distributed. We also consider the case when they follow Weibull distributions. One data set is used to illustrate the proposed techniques. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Keywords:Competing risks  Incomplete data  Failure distribution  Exponential distribution  Maximum likelihood estimators  Minimum variance unbiased estimator
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