- Efficient Controlled Selection
- Efficient Controlled Selection
- ㆍ 저자명
- Ryu. Jea-Bok,Lee. Seung-Joo
- ㆍ 간행물명
- 한국통계학회 논문집
- ㆍ 권/호정보
- 1997년|4권 1호|pp.151-159 (9 pages)
- ㆍ 발행정보
- 한국통계학회
- ㆍ 파일정보
- 정기간행물|ENG| PDF텍스트
- ㆍ 주제분야
- 기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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.