✦ LIBER ✦

A bivariate model to predict library circulation

✍ Scribed by Barr, Aiala ;Sichel, Herbert S.

Publisher: John Wiley and Sons
Year: 1991
Tongue: English
Weight: 545 KB
Volume: 42
Category: Article
ISSN: 0002-8231
DOI: 10.1002/(sici)1097-4571(199109)42:8<546::aid-asi2>3.0.co;2-h

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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