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Test for comparing complete expectations of life of two groups

Author

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  • Kanchan Jain
  • Harmanpreet Singh Kapoor
  • Isha Dewan

Abstract

Complete expectation of life of an individual gives an intuitive and interesting perspective on the ageing process and is an important concept in the insurance sector for determination of premium. We propose a new test for testing equality of complete expectations of life of two groups/populations. Power of the new test is calculated through simulations and compared with the power of the tests given by Berger, Boos, and Guess (1988) and Aly (1997). It is observed that the proposed test statistic is more powerful than the competing tests for the cases considered in this paper. A real life illustration is included.

Suggested Citation

  • Kanchan Jain & Harmanpreet Singh Kapoor & Isha Dewan, 2020. "Test for comparing complete expectations of life of two groups," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(8), pages 1960-1974, April.
    • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:8:p:1960-1974
    DOI: 10.1080/03610926.2019.1568478
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    Cited by:

    1. Mathew, Litty & P., Anisha & Kattumannil, Sudheesh K., 2022. "A jackknife empirical likelihood ratio test for strong mean inactivity time order," Statistics & Probability Letters, Elsevier, vol. 190(C).

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