Exact Probabilistic and Mathematical Proofs of the Relation between the Mean Number of Items per Source in the Bibliography and the Generalized 80/20-Rule.
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ERIC Institute of Education Sciences
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
1993
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| _version_ | 1867180586968285184 |
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| author | Egghe, L. |
| author_facet | Egghe, L. Egghe, L. |
| collection | Education Resources Information Center |
| contents | Exact Probabilistic and Mathematical Proofs of the Relation between the Mean Number of Items per Source in the Bibliography and the Generalized 80/20-Rule. Egghe, L. Bibliographies Bibliometrics Information Science Library Acquisition Library Circulation Library Collection Development Library Policy Mathematical Formulas Statistical Distributions Examines the 80/20 rule that relates to productive sources in a bibliography. Highlights include applications in library acquisition policies, library circulation and weeding policies, science policy studies, information science, and econometrics; formulae of Burrell and of Egghe; probabilistic proofs; geometric distributions; Lotka distribution; and mathematical proofs. (Contains 13 references.) (LRW) |
| format | Recurso educativo Open Access |
| id | eric_EJ467316 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1993 |
| record_format | eric |
| spellingShingle | Exact Probabilistic and Mathematical Proofs of the Relation between the Mean Number of Items per Source in the Bibliography and the Generalized 80/20-Rule. Egghe, L. Bibliographies Bibliometrics Information Science Library Acquisition Library Circulation Library Collection Development Library Policy Mathematical Formulas Statistical Distributions Exact Probabilistic and Mathematical Proofs of the Relation between the Mean Number of Items per Source in the Bibliography and the Generalized 80/20-Rule. Egghe, L. Bibliographies Bibliometrics Information Science Library Acquisition Library Circulation Library Collection Development Library Policy Mathematical Formulas Statistical Distributions Examines the 80/20 rule that relates to productive sources in a bibliography. Highlights include applications in library acquisition policies, library circulation and weeding policies, science policy studies, information science, and econometrics; formulae of Burrell and of Egghe; probabilistic proofs; geometric distributions; Lotka distribution; and mathematical proofs. (Contains 13 references.) (LRW) |
| title | Exact Probabilistic and Mathematical Proofs of the Relation between the Mean Number of Items per Source in the Bibliography and the Generalized 80/20-Rule. |
| topic | Bibliographies Bibliometrics Information Science Library Acquisition Library Circulation Library Collection Development Library Policy Mathematical Formulas Statistical Distributions |
| url | https://eric.ed.gov/?id=EJ467316 |