Estimation of Constant-Stress Partially Accelerated Life Test Plans for Rayleigh Distribution using Type-II Censoring

This study deals with simple Constant Stress Partially Accelerated life test (CSPALT) using type-II censoring. The lifetime distribution of the test item is assumed to follow Rayleigh distribution. The Maximum Likelihood (ML) Estimation is used to estimate the distribution parameters and acceleration factor. Asymptotic confidence interval estimates of the model parameters are also evaluated by using Fisher information matrix. In the last a simulation study is performed to illustrate the statistical properties of the parameters.