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Handling missing data in ranked set sampling

저자: Carlos Narciso Bouza Herrera
출판사: Heidelberg : Springer, 2013.
시리즈: SpringerBriefs in statistics
판/형식:   전자도서 : 문서 : 영어모든 판과 형식 보기
요약:
The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest. Traditionally, simple random sampling is used to select samples. Most statistical models are supported by the use of samples selected by means of this design.  더 읽기…
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장르/형태: Electronic books
추가적인 물리적 형식: Print version:
Bouza-Herrera, Carlos N.
Handling Missing Data in Ranked Set Sampling.
Dordrecht : Springer, ©2013
자료 유형: 문서, 인터넷 자료
문서 유형 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Carlos Narciso Bouza Herrera
ISBN: 9783642398995 3642398995 3642398987 9783642398988
OCLC 번호: 861744903
설명: 1 online resource (x, 116 pages).
내용: Missing observations and data quality improvement --
Sampling using ranked sets: basic concepts --
The non-response problem: subsampling among the non-respondents --
Imputation of the missing data --
Some numerical studies of the behavior of RSS.
일련 제목: SpringerBriefs in statistics
책임: Carlos N. Bouza-Herrera.

초록:

â The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. Traditionally, simple random sampling is used to select  더 읽기…

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From the reviews:"This monograph treats missing data due to non-inclusion of units in the sampling frame (non-coverage) or to individual non-responses in theoretical `ranked set sampling' framework. 더 읽기…

 
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