Using the Gamma-Poisson Model to Predict Library Circulations.
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| Title: | Using the Gamma-Poisson Model to Predict Library Circulations. |
|---|---|
| Authors: | Burrell, Quentin L.1 |
| Source: | Journal of the American Society for Information Science. Apr1990, Vol. 41 Issue 3, p164-170. 7p. |
| Subjects: | Library circulation analysis, Libraries, Management, Books, Library use studies |
| Geographic Terms: | Canada |
| Abstract: | Recent work has questioned the appropriateness of the gamma mixture of Poisson processes to model the circulation of books in a library. The purpose of this article is to argue that, for all its perceived defects, the model can be used to make predictions regarding future circulations of a quality adequate for general management requirements. The precise mathematical form of the model allows the consideration of any number of possible future developments. The use of the model is extensively illustrated with data from the University of Saskatchewan, Canada, and the University of Sussex, England. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell 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: 16796949 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using the Gamma-Poisson Model to Predict Library Circulations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burrell%2C+Quentin+L%2E%22">Burrell, Quentin L.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science%22">Journal of the American Society for Information Science</searchLink>. Apr1990, Vol. 41 Issue 3, p164-170. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Library+circulation+analysis%22">Library circulation analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Libraries%22">Libraries</searchLink><br /><searchLink fieldCode="DE" term="%22Management%22">Management</searchLink><br /><searchLink fieldCode="DE" term="%22Books%22">Books</searchLink><br /><searchLink fieldCode="DE" term="%22Library+use+studies%22">Library use studies</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Canada%22">Canada</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Recent work has questioned the appropriateness of the gamma mixture of Poisson processes to model the circulation of books in a library. The purpose of this article is to argue that, for all its perceived defects, the model can be used to make predictions regarding future circulations of a quality adequate for general management requirements. The precise mathematical form of the model allows the consideration of any number of possible future developments. The use of the model is extensively illustrated with data from the University of Saskatchewan, Canada, and the University of Sussex, England. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell 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=16796949 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/(SICI)1097-4571(199004)41:3<164::AID-ASI2>3.0.CO;2-K Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 164 Subjects: – SubjectFull: Library circulation analysis Type: general – SubjectFull: Libraries Type: general – SubjectFull: Management Type: general – SubjectFull: Books Type: general – SubjectFull: Library use studies Type: general – SubjectFull: Canada Type: general Titles: – TitleFull: Using the Gamma-Poisson Model to Predict Library Circulations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burrell, Quentin L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr1990 Type: published Y: 1990 Identifiers: – Type: issn-print Value: 00028231 Numbering: – Type: volume Value: 41 – Type: issue Value: 3 Titles: – TitleFull: Journal of the American Society for Information Science Type: main |
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