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A Novel Test Statistic for Right Censored Validity under a new Chen extension with Applications in Reliability and Medicine

Author

Listed:
  • Mohamed Ibrahim

    (Damietta University)

  • Khaoula Aidi

    (University Badji Mokhtar)

  • M. Masoom Ali

    (Ball State University)

  • Haitham M. Yousof

    (Benha University)

Abstract

A new modified version of the Bagdonavičius and Nikulin goodness-of-fit statistical test is presented and investigated for validity under the exponentiated Rayleigh generalized Chen distribution and the right censor case. Simulations via the algorithm of Barzilai-Borwein is performed for assessing the right censored estimation method. Four right censored data sets are analyzed under the new modified test statistic for checking the distributional validation.

Suggested Citation

  • Mohamed Ibrahim & Khaoula Aidi & M. Masoom Ali & Haitham M. Yousof, 2023. "A Novel Test Statistic for Right Censored Validity under a new Chen extension with Applications in Reliability and Medicine," Annals of Data Science, Springer, vol. 10(5), pages 1285-1299, October.
    • Handle: RePEc:spr:aodasc:v:10:y:2023:i:5:d:10.1007_s40745-022-00416-6
    DOI: 10.1007/s40745-022-00416-6
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    References listed on IDEAS

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