A Gull Alpha Power Weibull distribution with applications to real and simulated data.
other · Level V
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- Record sourced from PubMed, PMID 32530965.
- Also identified by DOI 10.1371/journal.pone.0233080 and PMC identifier 7292407.
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Abstract
In this paper, we produced a new family of distribution called Gull Alpha Power Family of distributions (GAPF). A Special case of GAPF is derived by considering the Weibull distribution as a baseline distribution called Gull Alpha Power Weibull distribution (GAPW). The suitability of the proposed distribution derives from its ability to model both the monotonic and non-monotonic hazard rate functions which are a common practice in survival analysis and reliability engineering. Various statistical properties were derived in addition to their special cases. The unknown parameters of the model are estimated using the maximum likelihood method. Moreover, the usefulness of the proposed distribution is supported by using two real lifetime data sets as well as simulated data.
Medical subject headings
- Biometry
- Probability Theory
- Statistical Distributions