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A jackknife empirical likelihood ratio test for strong mean inactivity time order

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  • Mathew, Litty
  • P., Anisha
  • Kattumannil, Sudheesh K.

Abstract

We propose a nonparametric test for testing strong mean inactivity time (SMIT) order. A jackknife empirical likelihood (JEL) ratio test for testing SMIT order is also developed. Monte Carlo simulation study show that the proposed test has good power against various alternatives. Finally, we illustrate our method using real data sets.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:stapro:v:190:y:2022:i:c:s0167715222001511
    DOI: 10.1016/j.spl.2022.109614
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    References listed on IDEAS

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    1. Jing, Bing-Yi & Yuan, Junqing & Zhou, Wang, 2009. "Jackknife Empirical Likelihood," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1224-1232.
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    4. 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.
    5. Misra, Neeraj & Misra, Amit Kumar, 2013. "On comparison of reversed hazard rates of two parallel systems comprising of independent gamma components," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1567-1570.
    6. Bhattacharyya, Dhrubasish & Khan, Ruhul Ali & Mitra, Murari, 2020. "A nonparametric test for comparison of mean past lives," Statistics & Probability Letters, Elsevier, vol. 161(C).
    7. Khan, Ruhul Ali & Bhattacharyya, Dhrubasish & Mitra, Murari, 2021. "On some properties of the mean inactivity time function," Statistics & Probability Letters, Elsevier, vol. 170(C).
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    Cited by:

    1. Lisa Parveen & Ruhul Ali Khan & Murari Mitra, 2024. "A two sample nonparametric test for variability via empirical likelihood methods," Statistical Papers, Springer, vol. 65(7), pages 4243-4265, September.

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