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Estimation of Partially Accelerated Life Tests for the Extreme Value Type-III Distribution with Type-I Censoring

DOI: 10.5923/j.ijps.20130201.01

Keywords: Acceleration Factor, Constant Stress, Fisher Information Matrix, Generalized Asymptotic Variance, Optimum Test Plan, Maximum Likelihood Estimation, Confidence Intervals

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Abstract:

In this paper a constant stress Partially Accelerated Life Test (CSPALT) using type-I censoring is obtained for Extreme Value Type-III distribution. This distribution has been found appropriate for high reliability components. Maximum Likelihood (ML) Estimation is used to estimate the parameters of CSPALT model. Confidence intervals for the model parameters are constructed. CSPALT plan is used to minimize the Generalized Asymptotic Variance (GAV) of the ML estimators of the model parameters.

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