JP Journal of Biostatistics

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EXPONENTIATED KAVYA-MANOHARAN BURR X DISTRIBUTION: ESTIMATION UNDER CENSORED TYPE II WITH APPLICATIONS IN MEDICAL DATA

Authors

  • Ibrahim Elbatal
  • Safar M. Alghamdi
  • Anis BEN Ghorbal
  • A. W. Shawki
  • Mohammed Elgarhy
  • Ahmed R. El-Saeed

Keywords:

Kavya-Manoharan Burr X distribution, exponentiated family, moments, maximum likelihood, skewness, kurtosis

DOI:

https://doi.org/10.17654/0973514323013

Abstract

In this article, we introduce a new generalization of Kavya-Manoharan Burr X (KMBx) distribution called exponentiated KMBx (EKMBx) distribution. The EKMBx distribution has three parameters, one scale and two shapes. These parameters make it very flexible. The EKMBx distribution contains three sub-models. Some basic statistical features like; the quantile function, skewness, kurtosis, moments, incomplete moments and generating functions are derived. The maximum likelihood approach is employed to estimate the parameters of the EKMBx model. The flexibility and applicability of the EKMBx model are demonstrated utilizing two different real-world datasets related to medical science.

Received: March 12, 2023 
Accepted: April 24, 2023 

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Published

2023-06-08

Issue

Vol. 23 No. 3 (2023)

Section

Articles

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How to Cite

EXPONENTIATED KAVYA-MANOHARAN BURR X DISTRIBUTION: ESTIMATION UNDER CENSORED TYPE II WITH APPLICATIONS IN MEDICAL DATA. (2023). JP Journal of Biostatistics, 23(3), 227-247. https://doi.org/10.17654/0973514323013

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