STATISTICAL INFERENCE ON THE GENERALIZED EXPONENTIAL DISTRIBUTION BASED ON GENERALIZED ORDER STATISTICS CHARACTERIZATIONS AND APPLICATIONS.
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| Title: | STATISTICAL INFERENCE ON THE GENERALIZED EXPONENTIAL DISTRIBUTION BASED ON GENERALIZED ORDER STATISTICS CHARACTERIZATIONS AND APPLICATIONS. |
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| Authors: | Shah, Imtiyaz A.1 driashah03@gmail.com, Rather, Khalid Ul Islam2 khalidstat34@gmail.com |
| Source: | Reliability: Theory & Applications. Dec2025, Vol. 20 Issue 4, p921-930. 10p. |
| Subjects: | Distribution (Probability theory), Order statistics, Inferential statistics, Mathematical functions, Prediction algorithms |
| Abstract: | In this paper, we study the Some distribution functions have been characterized based on m-dual generalized order statistics and consequently m-generalized order statistics. Moreover, we show that these characterization properties provide a beneficial strategy to predict future events, which are based on past or current events and on an arbitrary distribution function. Finally, an application of these results is given for bivariate generalized exponential distribution. [ABSTRACT FROM AUTHOR] |
| Copyright of Reliability: Theory & Applications is the property of International Group on Reliability and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 190594016 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: STATISTICAL INFERENCE ON THE GENERALIZED EXPONENTIAL DISTRIBUTION BASED ON GENERALIZED ORDER STATISTICS CHARACTERIZATIONS AND APPLICATIONS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shah%2C+Imtiyaz+A%2E%22">Shah, Imtiyaz A.</searchLink><relatesTo>1</relatesTo><i> driashah03@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Rather%2C+Khalid+Ul+Islam%22">Rather, Khalid Ul Islam</searchLink><relatesTo>2</relatesTo><i> khalidstat34@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Reliability%3A+Theory+%26+Applications%22">Reliability: Theory & Applications</searchLink>. Dec2025, Vol. 20 Issue 4, p921-930. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Order+statistics%22">Order statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Inferential+statistics%22">Inferential statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+functions%22">Mathematical functions</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+algorithms%22">Prediction algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we study the Some distribution functions have been characterized based on m-dual generalized order statistics and consequently m-generalized order statistics. Moreover, we show that these characterization properties provide a beneficial strategy to predict future events, which are based on past or current events and on an arbitrary distribution function. Finally, an application of these results is given for bivariate generalized exponential distribution. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Reliability: Theory & Applications is the property of International Group on Reliability and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190594016 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.24412/1932-2321-2025-489-921-930 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 921 Subjects: – SubjectFull: Distribution (Probability theory) Type: general – SubjectFull: Order statistics Type: general – SubjectFull: Inferential statistics Type: general – SubjectFull: Mathematical functions Type: general – SubjectFull: Prediction algorithms Type: general Titles: – TitleFull: STATISTICAL INFERENCE ON THE GENERALIZED EXPONENTIAL DISTRIBUTION BASED ON GENERALIZED ORDER STATISTICS CHARACTERIZATIONS AND APPLICATIONS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shah, Imtiyaz A. – PersonEntity: Name: NameFull: Rather, Khalid Ul Islam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19322321 Numbering: – Type: volume Value: 20 – Type: issue Value: 4 Titles: – TitleFull: Reliability: Theory & Applications Type: main |
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