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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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    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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