Novel Two Parameter Model: Statistical Properties, Fuzzy Reliability and Applications

The improvement of one-parameter lifetime distributions together with Lindley, Zegdoudi, XLindley, new XLindley, XGamma, etc., has usually been popular, however including a brand new parameter to a distribution makes it better and more flexible than the present one. This paper presents a new family of two-parameter (NTPFD) derivatives of the two parameter polynomial exponential family. This new version is a generalization of numerous novel one-parameter distributions such as: the XLindley, new XLindley, and ZLindley distributions. We study the main statistical properties of NTPFD: the shape of the density and hazard rate functions, moments, skewness, kurtosis, coefficient of variation, Bonferroni and Lorenz curves, reliability parameters, stochastic ordering, entropies, and quantile function. A discussion of fuzzy reliability is also given. To study the applicability, usefulness, reliability and superiority of the proposed distribution over existing distributions, two real data sets are assessed and fitted to the NTPFD distribution and potential competitors such as: an uncensored data set corresponding to the remission duration of a random sample of 128 patients with bladder cancer and the US population recorded in the decennial census during the period 1790-1970.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-21
DOI
https://doi.org/10.5281/zenodo.13958816
Primary Topic
Insect-Plant Interactions and Control
Type
article
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article

Novel Two Parameter Model: Statistical Properties, Fuzzy Reliability and Applications

Zenodo (CERN European Organization for Nuclear Research)
Insect-Plant Interactions and Control
article

Novel Two Parameter Model: Statistical Properties, Fuzzy Reliability and Applications

article en

Abstract

The improvement of one-parameter lifetime distributions together with Lindley, Zegdoudi, XLindley, new XLindley, XGamma, etc., has usually been popular, however including a brand new parameter to a distribution makes it better and more flexible than the present one. This paper presents a new family of two-parameter (NTPFD) derivatives of the two parameter polynomial exponential family. This new version is a generalization of numerous novel one-parameter distributions such as: the XLindley, new XLindley, and ZLindley distributions. We study the main statistical properties of NTPFD: the shape of the density and hazard rate functions, moments, skewness, kurtosis, coefficient of variation, Bonferroni and Lorenz curves, reliability parameters, stochastic ordering, entropies, and quantile function. A discussion of fuzzy reliability is also given. To study the applicability, usefulness, reliability and superiority of the proposed distribution over existing distributions, two real data sets are assessed and fitted to the NTPFD distribution and potential competitors such as: an uncensored data set corresponding to the remission duration of a random sample of 128 patients with bladder cancer and the US population recorded in the decennial census during the period 1790-1970.

Zenodo (CERN European Organization for Nuclear Research)
Badji Mokhtar-Annaba University (DZ), University of Algiers Benyoucef Benkhedda (DZ)
Openalex Percentile: Top 67%
Insect-Plant Interactions and Control
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Novel Two Parameter Model: Statistical Properties, Fuzzy Reliability and Applications · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS