Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A BETABINOMIAL MODEL FOR LIBRARY SURVEY DATA

A BETABINOMIAL MODEL FOR LIBRARY SURVEY DATA It has become of increasing importance to the UK library community to estimate the proportion of library acquisitions in the United Kingdom for which a UK MARC record is available at the time of cataloguing. This proportion is called the hit rate. The libraries have for the purpose of the study been divided into two sectors, academic libraries and public libraries. This paper uses a betabinomial model to enable us to attribute standard errors to each of our overall hit rate estimates and to investigate the difference between the hit rates of the two populations. The model also provides an estimate of the individual hit rate for any given library. Such estimates are useful for identifying libraries which are not typical of the library population from which they are drawn. The model is applied to data obtained from the Centre of Catalogue Research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Documentation Emerald Publishing

A BETABINOMIAL MODEL FOR LIBRARY SURVEY DATA

SILVERMAN, B.W.; WILSON, J.D.
Journal of Documentation , Volume 43 (2): 13 – Feb 1, 1987
Download PDF
13 pages

Loading next page...
 
/lp/emerald-publishing/a-betabinomial-model-for-library-survey-data-iNxaXkobxO

References (3)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0022-0418
DOI
10.1108/eb026804
Publisher site
See Article on Publisher Site

Abstract

It has become of increasing importance to the UK library community to estimate the proportion of library acquisitions in the United Kingdom for which a UK MARC record is available at the time of cataloguing. This proportion is called the hit rate. The libraries have for the purpose of the study been divided into two sectors, academic libraries and public libraries. This paper uses a betabinomial model to enable us to attribute standard errors to each of our overall hit rate estimates and to investigate the difference between the hit rates of the two populations. The model also provides an estimate of the individual hit rate for any given library. Such estimates are useful for identifying libraries which are not typical of the library population from which they are drawn. The model is applied to data obtained from the Centre of Catalogue Research.

Journal

Journal of Documentation – Emerald Publishing

Published: Feb 1, 1987

There are no references for this article.