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On the maximum and minimum for classes of univariate distributions

Author

Listed:
  • S. Nadarajah

    (University of Manchester)

  • I. E. Okorie

    (University of Manchester)

Abstract

Given a random sample $$X_1, X_2, \ldots , X_n$$ X 1 , X 2 , … , X n , the distributions of $$\min \left( X_1, X_2, \ldots , X_n \right)$$ min X 1 , X 2 , … , X n and $$\max \left( X_1, X_2, \ldots , X_n \right)$$ max X 1 , X 2 , … , X n are of interest in many areas. We derive explicit expressions for moments of $$\min \left( X_1, X_2, \ldots , X_n \right)$$ min X 1 , X 2 , … , X n and $$\max \left( X_1, X_2, \ldots , X_n \right)$$ max X 1 , X 2 , … , X n for thirty four families of distributions, including the normal and Student’s t distributions. These results can be especially useful when data are scarce. The correctness of the expressions is checked by a simulation study. Applications to two engineering data sets are given.

Suggested Citation

  • S. Nadarajah & I. E. Okorie, 2021. "On the maximum and minimum for classes of univariate distributions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(2), pages 290-309, April.
  • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:2:d:10.1007_s13198-021-01078-y
    DOI: 10.1007/s13198-021-01078-y
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    References listed on IDEAS

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    1. Jocelyn, Sabrina & Chinniah, Yuvin & Ouali, Mohamed-Salah & Yacout, Soumaya, 2017. "Application of logical analysis of data to machinery-related accident prevention based on scarce data," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 223-236.
    2. Ling, Chengxiu & Peng, Zuoxiang, 2016. "Tail asymptotics of generalized deflated risks with insurance applications," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 220-231.
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