A Study on Partially Accelerated Life Test for the Generalized Inverse Lindley Distribution Under Multiple Censored Information

Authors

  • Intekhab Alam School of Engineering and Technology, Maharishi University of Information Technology, Noida, India
  • Murshid Kamal Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India
  • Trapty Agarwal School of Engineering and Technology, Maharishi University of Information Technology, Noida, India
  • Awakash Mishra School of Engineering and Technology, Maharishi University of Information Technology, Noida, India

Keywords:

Constant stress partially accelerated life tests, generalized inverse Lindley distribution, multiple censoring, Fisher information matrix, simulation study

Abstract

If the objects have high reliability, then checking the life span of components in regular use circumstances takes extra time and expenditure compared to accelerated circumstances. The apparatus put on higher stress than the regular level of stresses to find out premature failures in a short phase to lessen the costs involved in the assessment of apparatus with no change in the worth. This problem is based on constant stress partially accelerated life tests for the generalized inverse Lindley distribution using multiple censoring schemes. The maximum likelihood estimates and asymptotic variance and covariance matrix are achieved. The confidence intervals for parameters are also assembled. Further, a simulation study is used to check and verify the performance of the estimators.

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Published

2023-12-28

How to Cite

Alam, I. ., Kamal, M. ., Agarwal, T. ., & Mishra, A. . (2023). A Study on Partially Accelerated Life Test for the Generalized Inverse Lindley Distribution Under Multiple Censored Information. Thailand Statistician, 22(1), 162–179. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/252229

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