Bivariate Distributions of Transactions: Who Borrows What?

Authors

  • I. K. Ravichandra Rao
     Indian Statistical Institute, Documentation Research and Training Centre, 31 Church Street, Bangalore - 560 001

DOI:

https://doi.org/10.17821/srels/1981/v18i3/49402

Abstract

Based on analysis of macro-circulation data from Canadian University libraries having automated systems, it has been observed that frequent users are likely to borrow documents which are borrowed frequently and infrequent users are likely to borrow documents which are borrowed infrequently. Also, the analysis suggests that there are reasons to believe that users in the area of arts, irrespective of whether they are frequent or infrequent users, are likely to borrow documents irrespective of whether they are borrowed frequently or infrequently.

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Published

1981-09-03

How to Cite

Ravichandra Rao, I. K. (1981). Bivariate Distributions of Transactions: Who Borrows What?. Journal of Information and Knowledge, 18(3), 155–173. https://doi.org/10.17821/srels/1981/v18i3/49402

Issue

Volume 18, Issue 3, September 1981

Section

Articles

License

All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.

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Received 2014-05-26
Accepted 2014-05-26
Published 1981-09-03

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