Applications of Imperfect Ranking Models for Ranked Ordering Set Sampling

• 발행기관: 한국자료분석학회
• 저자명: Dong Hee Kim Bong Seak Ock
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.11 No.4, 1785~1792쪽, 전체 8쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2009.08.30

영문 초록

Until now few authors deal with the imperfect judgement problem in ranked-set samples(RSS). In this paper we consider the imperfect judgement problem, using Frey (2007)’s idea, in advanced RSS, which we call ranked ordering set sampling(ROSS). With imperfect matrix we may know more precise distribution of ROSS when the judgement is imperfect. Through the graph we show that ROSS is slightly more precise than RSS for imperfect judgements. Our future work is to find more detailed examples and develop variously useful sampling technique for the imperfect judgements.

목차

1. Introduction

2. Imperfect ranking model

3. More general cases

4. Comparison

5. Conclusion

References

키워드

Imperfect ranking model Ranked ordering set samples ranked set sampling(RSS)