A bivariate model to predict library circulation

Aiala Barr and Herbert S. Sichel

Journal of the American Society for Information Science, 1991, vol. 42, issue 8, 546-553

Abstract: The appropriateness of fitting an approximately linear graph for the data collected over a two‐year period in library circulation has been questioned recently. The models, which exist in statistical analysis of library circulation, are able only to present linear regression. These models are based on classical bivariate discrete distributions which are determined by their univariate marginals and are characterized by a much restricted correlation structure. In this article we propose the analysis of library circulation data with the help of a new statistical model that creates a most flexible regression curve. © 1991 John Wiley & Sons, Inc.

Date: 1991
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https://doi.org/10.1002/(SICI)1097-4571(199109)42:83.0.CO;2-H

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:42:y:1991:i:8:p:546-553

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