Research Article

Generalized Weighted Chris-Jerry Distribution: Properties and Applications

Authors

  • Precious O. Ibeakuzie Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
  • Ifeanyi C. Anabike Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
  • Peace M. Nwankwo Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
  • EbereChukwu Q. Chinedu Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
  • Divine-Favour N. Ekemezie Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
  • Chinyere P. Igbokwe * Department of Statistics, School of Science and Industrial Technology, Abia State Polytechnic, Aba, Abia State, Nigeria.

https://doi.org/10.48314/caa.v1i1.23

Abstract

This study is a generalization of the length-biased and weighted Chris-Jerry distribution. It introduces an additional scale parameter to make the distribution more flexible. The functional form of the distribution which includes the density function, the distribution function, the survival function and the hazard function together with their plots were presented. The study also encapsulates the characteristics of the model with the estimation of the parameters using the maximum likelihood method. The applicability was demonstrated using data on remission times of a sample of 128 bladder cancer patients, mortality rate of children in Japan and Ireland under the age of five. The results validate that the model is apt in describing real life events.

Keywords

Generalized Weighted Chris-Jerry distribution Length-Biased Chris-Jerry distribution Cancer Mortality Rate, Goodness of Fit
References (42)
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  3. [3] Kharazmi, O., Mahdavi, A., Fathizadeh, M. (2015). Generalized weighted exponential distribution. Communications in Statistics-Simulation and Computation, 44(6), 1557–1569. Taylor Francis.

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How to Cite

O. Ibeakuzie, P. ., C. Anabike, I. ., M. Nwankwo, P. ., Q. Chinedu, E., N. Ekemezie, D.-F. ., & Igbokwe, C. P. . (2024). Generalized Weighted Chris-Jerry Distribution: Properties and Applications. Complexity Analysis and Applications, 1(1), 30-44. https://doi.org/10.48314/caa.v1i1.23

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