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Power Hamza Distribution with Application to Lifetime Data

Power Hamza Distribution with Application to Lifetime Data
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摘要 In this paper, a three-parameter lifetime distribution named power Hamza distribution (PH) is proposed. The PH distribution is a useful generalization of the Hamza distribution which accommodates heavy-tailed, upside-down bathtub and J-shaped hazard rates making it more flexible than the Hamza distribution for modelling various kinds of lifetime data. A comprehensive account of the properties of this distribution is presented. The maximum likelihood estimators of the unknown model parameters are discussed. Finally, a real-life data is analyzed for illustrative purpose proving that the PH outperforms the Hamza distribution and several other lifetime distributions. In this paper, a three-parameter lifetime distribution named power Hamza distribution (PH) is proposed. The PH distribution is a useful generalization of the Hamza distribution which accommodates heavy-tailed, upside-down bathtub and J-shaped hazard rates making it more flexible than the Hamza distribution for modelling various kinds of lifetime data. A comprehensive account of the properties of this distribution is presented. The maximum likelihood estimators of the unknown model parameters are discussed. Finally, a real-life data is analyzed for illustrative purpose proving that the PH outperforms the Hamza distribution and several other lifetime distributions.
作者 Samuel U. Enogwe Chike H. Nwankwo Eric U. Oti Samuel U. Enogwe;Chike H. Nwankwo;Eric U. Oti(Department of Statistics, Michael Okpara University of Agriculture, Umudike, Nigeria;Department of Statistics, Nnamdi Azikiwe University, Awka, Nigeria;Department of Statistics, Federal Polytechnic, Ekowe, Nigeria)
出处 《Journal of Applied Mathematics and Physics》 2022年第1期31-48,共18页 应用数学与应用物理(英文)
关键词 Hamza Distribution Hazard Rate Function Conditional Moments Stochastic Ordering Maximum Likelihood Method Hamza Distribution Hazard Rate Function Conditional Moments Stochastic Ordering Maximum Likelihood Method
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