- Efficient Controlled Selection
- Ryu, Jea-Bok ; Lee, Seung-Joo ;
- Communications for Statistical Applications and Methods, volume 4, issue 1, 1997, Pages 151~159
Abstract
In sample surveys, we expect preferred samples that reduce the survey cost and increase the precision of estimators will be selected. Goodman and Kish (1950) introduced controlled selection as a method of sample selection that increases the probability of drawing preferred samples, while decreases the probability of drawing nonpreferred samples. In this paper, we obtain the controlled plans using the maximum entropy principle, and when the order of nonpreferred samples is considered, we propose the algorithm to obtain a controlled plan.