Estimation for constant-stress accelerated life test from generalized half-normal distribution

摘要

In the constant-stress accelerated life test, estimation issues are discussed for a generalized half-normal distribution under a log-linear life-stress model. The maximum likelihood es-timates with the corresponding fixed point type iterative algorithm for unknown parameters are presented, and the least square es-timates of the parameters are also proposed. Meanwhile, confi-dence intervals of model parameters are constructed by using the asymptotic theory and bootstrap technique. Numerical illustration is given to investigate the performance of our methods.