A NEW flexible exponent power family of distributions with biomedical data analysis

Zubir Shah, Dost Muhammad Khan, Sundus Hussain, Nadeem Iqbal, Jin Taek Seong, Sundus Naji Alaziz, Zardad Khan

Research output: Contribution to journalArticlepeer-review


Probability distributions are widely utilized in applied sciences, especially in the field of biomedical science. Biomedical data typically exhibit positive skewness, necessitating the use of flexible, skewed distributions to effectively model such phenomena. In this study, we introduce a novel approach to characterize new lifetime distributions, known as the New Flexible Exponent Power (NFEP) Family of distributions. This involves the addition of a new parameter to existing distributions. A specific sub-model within the proposed class, known as the New Flexible Exponent Power Weibull (NFEP-Wei), is derived to illustrate the concept of flexibility. We employ the well-established Maximum Likelihood Estimation (MLE) method to estimate the unknown parameters in this family of distributions. A simulation study is conducted to assess the behavior of the estimators in various scenarios. To gauge the flexibility and effectiveness of the NFEP-Wei distribution, we compare it with the AP-Wei (alpha power Weibull), MO-Wei (Marshal Olkin Weibull), classical Wei (Weibull), NEP-Wei (new exponent power Weibull), FRLog-Wei (flexible reduced logarithmic Weibull), and Kum-Wei (Kumaraswamy Weibull) distributions by analyzing four distinct biomedical datasets. The results demonstrate that the NFEP-Wei distribution outperforms the compared distributions.

Original languageEnglish
Article numbere32203
Issue number12
Publication statusPublished - Jun 30 2024


  • Biomedical data
  • Flexible exponent power family
  • MLE
  • Simulation study
  • Weibull distribution

ASJC Scopus subject areas

  • General


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