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Harmonic Mixture Fréchet Distribution: Properties and Applications to Lifetime Data

Author

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  • Selasi Kwaku Ocloo
  • Lewis Brew
  • Suleman Nasiru
  • Benjamin Odoi
  • Jewgeni Dshalalow

Abstract

In this study, we propose a four-parameter probability distribution called the harmonic mixture Fréchet. Some useful expansions and statistical properties such as moments, incomplete moments, quantile functions, entropy, mean deviation, median deviation, mean residual life, moment-generating function, and stress-strength reliability are presented. Estimators for the parameters of the harmonic mixture Fréchet distribution are derived using the estimation techniques such as the maximum-likelihood estimation, the ordinary least-squares estimation, the weighted least-squares estimation, the Cramér–von Mises estimation, and the Anderson–Darling estimation. A simulation study was conducted to assess the biases and mean square errors of the estimators. The new distribution was applied to three-lifetime datasets and compared with the classical Fréchet distribution and eight (8) other extensions of the Fréchet distribution.

Suggested Citation

  • Selasi Kwaku Ocloo & Lewis Brew & Suleman Nasiru & Benjamin Odoi & Jewgeni Dshalalow, 2022. "Harmonic Mixture Fréchet Distribution: Properties and Applications to Lifetime Data," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2022, pages 1-20, September.
  • Handle: RePEc:hin:jijmms:6460362
    DOI: 10.1155/2022/6460362
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