This paper presents estimation and optimal design of constant stress accelerated life
test (CSALT) under type-II censoring. The maximum likelihood (ML) method is applied
to obtain the ML estimators of the parameters of generalized logistic distributio. The scale
parameter of the lifetime distribution is assumed to be an inverse power law function of the
stress level. The Fisher information matrix, the asymptomatic variance-covariance matrix,
the confidence bounds, the predictive value of the scale parameter and the reliability function
under the usual conditions are obtained. Moreover, the optimal values of the fraction
of failure units are specified according to the D-optimality criterion. Finally, numerical
studies are introduced to illustrate the results.
Accelerated life test, Constant Stress, Type-II censoring, Maximum likelihood Estimation, Fisher Information Matrix, Optimum Test Plan, Generalized Logistic Distribution.