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In this paper, the likelihood estimation of model parameters and acceleration factor are considered under step-stress partially accelerated life test using adaptive type-II progressive hybrid censoring scheme, when the lifetime of the test units follows Exponentiated Pareto distribution. The numerical values of Maximum likelihood estimators are obtained using the Newton–Raphson technique. The performance of model parameters and acceleration factor in terms of mean square errors and biases are evaluated using the Monte-Carlo simulation technique.
Annals of Data Science – Springer Journals
Published: Apr 1, 2023
Keywords: Step-stress partially accelerated life test; Adaptive type-II progressive hybrid censoring; Exponentiated pareto distribution; Newton–raphson technique; Monte-carlo simulation
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