Parameter Estimation of Mukherjee-Islam Model under Step Stress Partially Accelerated Life Tests with Failure Constraint

نویسندگان

  • Showkat Ahmad Lone
  • Ahmadur Rahman
چکیده

In this paper, we have studied the estimation of parameters under failure censored data using step stress partially accelerated life testing. The lifetimes of test items are assumed to follow Mukherjee-Islam distribution. The estimation of different parameters and acceleration factor are obtained by Maximum Likelihood Method. Relative absolute bias (RAB), mean squared error (MSE), relative error (RE), standard deviation and confidence intervals are also obtained. Asymptotic variance-covariance matrix and also test method are given. Simulation studies have been introduced to illustrate the performance of all the statistical assumptions.

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تاریخ انتشار 2016