Statistical Inference of Generalized Half-Normal Distribution for Constant Accelerated Life Tests
In this paper,under constant-stress accelerated life test,the parameter estimations on a popula-tion with generalized half-normal distribution were considered.Firstly,it was proved that the product life forms a geometric process when certain conditions of the stress and parameters of generalized half-normal distribution are satisfied.Secondly,the maximum likelihood estimations,asymptotic confidence interval and bootstrap confi-dence interval estimations of the parameters were proposed.Finally,the obtained estimation results were nu-merically simulated,which showed that the model parameter estimations and confidence interval estimations were valid.
accelerated life testgeometric processmaximum likelihood estimationbootstrap confidenceasymptotic distribution
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