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A test for the increasing log-odds rate family

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  • Lando, Tommaso

Abstract

This paper proposes a nonparametric test of the increasing log-odds rate null hypothesis. A table of simulated p-values is provided and the performance of the test is validated through a simulation study.

Suggested Citation

  • Lando, Tommaso, 2021. "A test for the increasing log-odds rate family," Statistics & Probability Letters, Elsevier, vol. 170(C).
    • Handle: RePEc:eee:stapro:v:170:y:2021:i:c:s0167715220303205
    DOI: 10.1016/j.spl.2020.109017
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    References listed on IDEAS

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    1. Thomas Santner & Robert Tenga, 1984. "Testing goodness of fit to the increasing failure rate family with censored data," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 31(4), pages 631-646, December.
    2. Robert Tenga & Thomas J. Santner, 1984. "Testing goodness of fit to the increasing failure rate family," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 31(4), pages 617-630, December.
    3. Sahoo, Shyamsundar & Sengupta, Debasis, 2017. "Testing the hypothesis of increasing hazard ratio in two samples," Computational Statistics & Data Analysis, Elsevier, vol. 114(C), pages 119-129.
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    Cited by:

    1. Tommaso Lando, 2022. "Testing convexity of the generalised hazard function," Statistical Papers, Springer, vol. 63(4), pages 1271-1289, August.

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    1. Tommaso Lando, 2022. "Testing convexity of the generalised hazard function," Statistical Papers, Springer, vol. 63(4), pages 1271-1289, August.
    2. Lando, Tommaso, 2023. "Testing departures from the increasing hazard rate property," Statistics & Probability Letters, Elsevier, vol. 193(C).

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