ANALYSIS OF EXPONENTIATED EXPONENTIAL MODEL UNDER STEP STRESS PARTIALLY ACCELERATED LIFE TESTING PLAN USING PROGRESSIVE TYPE-II CENSORED DATA
Resumen
Recently, partially accelerated life testing has become quite important in reliability and life testing studies. This paper discusses
maximum likelihood estimation method in step-stress partially accelerated life tests when the lifetime of items under use
condition follow the exponentiated exponential distribution. Based on progressively type-II censored samples; the point and
interval estimations for the considered parameters and the tampering coefficient are obtained in closed forms. The observed
Fisher information matrix is derived to calculate confidence intervals for the considered parameters. The performance of the
resulting estimators of the developed model parameters is evaluated and investigated in terms of their biases and mean squared
errors by using a Monte
Carlo simulation method.
KEYWORDs: Exponentiated exponential distribution; partially accelerated life testing; progressive type-II censoring; Fisher
information matrix; Monte Carlo simulations.
MSC: 62N05, 62N01, 62N02, 65Y99.
maximum likelihood estimation method in step-stress partially accelerated life tests when the lifetime of items under use
condition follow the exponentiated exponential distribution. Based on progressively type-II censored samples; the point and
interval estimations for the considered parameters and the tampering coefficient are obtained in closed forms. The observed
Fisher information matrix is derived to calculate confidence intervals for the considered parameters. The performance of the
resulting estimators of the developed model parameters is evaluated and investigated in terms of their biases and mean squared
errors by using a Monte
Carlo simulation method.
KEYWORDs: Exponentiated exponential distribution; partially accelerated life testing; progressive type-II censoring; Fisher
information matrix; Monte Carlo simulations.
MSC: 62N05, 62N01, 62N02, 65Y99.
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