Library and Information Science

Library and Information Science ISSN: 2435-8495
三田図書館・情報学会 Mita Society for Library and Information Science
〒108‒8345 東京都港区三田2‒15‒45 慶應義塾大学文学部図書館・情報学専攻内 c/o Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
http://www.mslis.jp/ E-mail:mita-slis@ml.keio.jp
Library and Information Science 25: 25-39 (1987)
doi:10.46895/lis.25.25

原著論文Original Article

大学図書館における図書の貸出頻度についての確率過程モデルの検討負の二項分布を中心としてAn examination of stochastic models for the number of book circulations in academic libraries : Concerning to a negative binomial distribution

1慶應義塾大学大学院文学研究科図書館・情報学専攻Graduate School of Library and Information Science, Keio University ◇ 〒108-8345 東京都港区三田二丁目15番45号 ◇ Mita 2-15-45, Minato-ku, Tokyo 108-8345, Japan

2慶應義塾大学文学部図書館・情報学科教授Professer, School of Library and Information Science, Keio University ◇ 〒108-8345 東京都港区三田二丁目15番45号 ◇ Mita 2-15-45, Minato-ku, Tokyo 108-8345, Japan

3慶應義塾大学三田情報センター選書課長Mita Library and Information Center, Keio University ◇ 〒108-8345 東京都港区三田二丁目15番45号 ◇ Mita 2-15-45, Minato-ku, Tokyo 108-8345, Japan

4上智大学図書館Sophia University Library ◇ 〒102-8554 東京都千代田区紀尾井町7番1号 ◇ Kioi-cho 7-1, Chiyoda-ku, Tokyo 102-8554, Japan

発行日:1988年3月25日Published: March 25, 1988
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Recently, some library circulation models have been developed, and it has been tried to make use of them for decision making in libraries. One of the main approaches is to use a negative binomial distribution as a book circulation frequency distribution.

In this paper, firstly, we try to examine the validity of a negative binomial distribution as a book circulation frequency distribution in comparison to other mixture distributions — beta binomial, Neiman’s type A, and logarithmic series distributions. As a result, the examination indicates the superiority of the negative binomial distribution.

Secondly, we examine a nonstationary Poisson process model which Q. E. Burrell has developed. It’s result clarifies that Burrell’s model doesn’t be enough to fit the year-by-year change of real circulation frequency distributions of Hiyoshi Library and Information Center in Keio University. So, we modify this model. Our modified model gives a better fitness to real deta than Burrell’s model.

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