Exponentaited generalized Weibull Gompertz distribution
M.A. EL-Damcese, Abdelfattah Mustafa, M.S. Eliwa
TL;DR
This paper introduces the exponentaited generalized Weibull Gompertz distribution (EGWGD), exploring its properties and demonstrating its superior fit to real data compared to other distributions.
Contribution
It presents a new flexible distribution, EGWGD, and studies its properties, offering a better modeling tool for reliability and lifetime data.
Findings
EGWGD can model data more accurately than traditional distributions.
The distribution's properties like moments and hazard functions are thoroughly derived.
Real data analysis shows improved fit with EGWGD.
Abstract
This paper introduces studies on exponentaited generalized Weibull Gompertz distribution EGWGD which generalizes a lot of distributions. Several properties of the EGWGD such as reversed (hazard) function, moments, maximum likelihood estimation, mean residual (past) lifetime, MTTF, MTTR, MTBF, maintainability, availability and order statistics are studied in this paper. A real data set is analyzed and it is observed that the present distribution can provide a better fit than some other very well known distributions
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Probabilistic and Robust Engineering Design · Hydrology and Drought Analysis