Multi-objective optimal design strategy under type-II progressive censoring with random dependent removal model

Document Type : Original Scientific Paper

Authors

1 Faculty of Mathematics‎, ‎Statistics and Computer Science‎, ‎University of Sistan and Baluchestan, Zahedan, Iran

2 School of Mathematics‎, ‎Statistics and Computer Science‎, ‎College of Science‎, ‎University of Tehran, Tehran, Iran

Abstract

In designing an optimal life-testing experiment under a censoring setup‎, ‎the removal vector scheme is usually chosen by optimizing a suitable criterion function‎. ‎The criterion functions are usually constructed based on cost or variance functions‎, ‎and sometimes a combination of both‎. ‎This paper considers a multiple optimization problem in the context of Type-II progressive censoring with random dependent removal lifetime experiment‎. ‎A simple simulation algorithm is presented for obtaining the optimal scheme in a multi-objective optimal problem under the Type-II progressive censoring with random dependent removal model‎. ‎Several simulation studies are conducted to evaluate and compare the performance of the proposed strategy‎. ‎Finally‎, ‎some concluding remarks and future works are provided.

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References

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Journal of Statistical Modelling: Theory and Applications
Volume 3, Issue 2
July 2022
Pages 157-167

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History

  • Receive Date: 18 April 2023
  • Revise Date: 16 September 2023
  • Accept Date: 18 October 2023

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