New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications

The generalization of probability distributions has a rich history, with various techniques employed to introduce new families of distributions. One notable approach is the transformed-transformer (T-X) method, which has been used by several authors to introduce many of novel probability distributio...

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Main Authors: Fatehi Yahya Eissa, Chhaya Dhanraj Sonar
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2024/7144414
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author Fatehi Yahya Eissa
Chhaya Dhanraj Sonar
author_facet Fatehi Yahya Eissa
Chhaya Dhanraj Sonar
author_sort Fatehi Yahya Eissa
collection DOAJ
description The generalization of probability distributions has a rich history, with various techniques employed to introduce new families of distributions. One notable approach is the transformed-transformer (T-X) method, which has been used by several authors to introduce many of novel probability distributions. In this study, we present the new Lindley-X class, a novel family of continuous probability distributions, and we introduce some submodels within this framework. Our research involves deriving mathematical expressions for various statistical measures, including moments, the generating function, the quantile function, and Renyi entropy. To estimate the parameters of the new family of distributions, we utilize a range of methods, including maximum likelihood, maximum product spacing, least squares, Cramer-von Mises, and Anderson–Darling estimations. Furthermore, we illustrate the practical applicability of this new family of distributions through the analysis of real-life datasets.
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institution Kabale University
issn 1687-9538
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series Journal of Probability and Statistics
spelling doaj-art-564f37c59ba54abeb99644a6305444c02025-02-03T11:56:02ZengWileyJournal of Probability and Statistics1687-95382024-01-01202410.1155/2024/7144414New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability ApplicationsFatehi Yahya Eissa0Chhaya Dhanraj Sonar1Department of MathematicsDepartment of StatisticsThe generalization of probability distributions has a rich history, with various techniques employed to introduce new families of distributions. One notable approach is the transformed-transformer (T-X) method, which has been used by several authors to introduce many of novel probability distributions. In this study, we present the new Lindley-X class, a novel family of continuous probability distributions, and we introduce some submodels within this framework. Our research involves deriving mathematical expressions for various statistical measures, including moments, the generating function, the quantile function, and Renyi entropy. To estimate the parameters of the new family of distributions, we utilize a range of methods, including maximum likelihood, maximum product spacing, least squares, Cramer-von Mises, and Anderson–Darling estimations. Furthermore, we illustrate the practical applicability of this new family of distributions through the analysis of real-life datasets.http://dx.doi.org/10.1155/2024/7144414
spellingShingle Fatehi Yahya Eissa
Chhaya Dhanraj Sonar
New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications
Journal of Probability and Statistics
title New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications
title_full New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications
title_fullStr New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications
title_full_unstemmed New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications
title_short New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications
title_sort new lindley generator based on t x family of distributions properties and reliability applications
url http://dx.doi.org/10.1155/2024/7144414
work_keys_str_mv AT fatehiyahyaeissa newlindleygeneratorbasedontxfamilyofdistributionspropertiesandreliabilityapplications
AT chhayadhanrajsonar newlindleygeneratorbasedontxfamilyofdistributionspropertiesandreliabilityapplications