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Parametric and Interval Estimation Under Step-Stress Partially Accelerated Life Tests Using Adaptive Type-II Progressive Hybrid Censoring

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Abstract

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.

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  1. Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India

    Intekhab Alam & Aquil Ahmed

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  1. Intekhab Alam
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  2. Aquil Ahmed
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Correspondence to Intekhab Alam.

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Alam, I., Ahmed, A. Parametric and Interval Estimation Under Step-Stress Partially Accelerated Life Tests Using Adaptive Type-II Progressive Hybrid Censoring. Ann. Data. Sci. 10, 441–453 (2023). https://doi.org/10.1007/s40745-020-00249-1

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  • DOI: https://doi.org/10.1007/s40745-020-00249-1

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