This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Vos, H. J. Search for Related Content Social Bookmarking                         What's this?

Simultaneous Optimization of Decisions Using a Linear Utility Function

University of Twente

The purpose of this article is to simultaneously optimize decision rules for combinations of elementary decisions. With this approach, rules are found that make more efficient use of the data than could be achieved by optimizing these decisions separately. The framework for the approach is derived from Bayesian decision theory. To illustrate the approach, two elementary decisions (selection and mastery decisions) are combined into a simple decision network. A linear utility structure is assumed. Decision rules are derived both for quota-free and quota-restricted selection–mastery decisions in case of several subpopulations. An empirical example of instructional decision making in an individual study system concludes the article.

Key Words: decision theory • culture-fair selection • linear utility

Journal of Educational and Behavioral Statistics, Vol. 15, No. 4, 309-340 (1990)
DOI: 10.3102/10769986015004309


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?