Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model.
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| Title: | Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model. |
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| Authors: | Deng, Dianliang1 (AUTHOR) deng@uregina.ca, Zhang, Xiaoqing1 (AUTHOR) zhang87x@uregina.ca |
| Source: | Journal of Statistical Theory & Applications. 2/18/2026, Vol. 25 Issue 1, p1-38. 38p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 191658788 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Deng%2C+Dianliang%22">Deng, Dianliang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> deng@uregina.ca</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaoqing%22">Zhang, Xiaoqing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhang87x@uregina.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Statistical+Theory+%26+Applications%22">Journal of Statistical Theory & Applications</searchLink>. 2/18/2026, Vol. 25 Issue 1, p1-38. 38p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=191658788 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s44199-025-00161-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 38 StartPage: 1 Titles: – TitleFull: Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Deng, Dianliang – PersonEntity: Name: NameFull: Zhang, Xiaoqing IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 02 Text: 2/18/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15387887 Numbering: – Type: volume Value: 25 – Type: issue Value: 1 Titles: – TitleFull: Journal of Statistical Theory & Applications Type: main |
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