Systems Engineering and Electronics

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

Liang Wang1,* and Yimin Shi2   

  1. 1. School of Mathematics and Statistics, Xidian University, Xi’an 710071, China;
    2. Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710072, China
  • Online:2017-08-25 Published:2010-01-03


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 estimates with the corresponding fixed point type iterative algorithm for unknown parameters are presented, and the least square estimates of the parameters are also proposed. Meanwhile, confidence 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.