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The Resource Handling missing data in ranked set sampling, Carlos N. Bouza-Herrera, (electronic book)

Handling missing data in ranked set sampling, Carlos N. Bouza-Herrera, (electronic book)

Label
Handling missing data in ranked set sampling
Title
Handling missing data in ranked set sampling
Statement of responsibility
Carlos N. Bouza-Herrera
Creator
Author
Subject
Language
eng
Summary
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. In recent decades, an alternative design has started being used, which, in many cases, shows an improvement in terms of accuracy compared with traditional sampling. It is called Ranked Set Sampling (RSS). A random selection is made with the replacement of samples, which are ordered (ranked). The literature on the subject is increasing due to the potentialities of RSS for deriving more effective alternatives to well-established statistical models. In this work, the use of RSS sub-sampling for obtaining information among the non respondents and different imputation procedures are considered. RSS models are developed as counterparts of well-known simple random sampling (SRS) models. SRS and RSS models for estimating the population using missing data are presented and compared both theoretically and using numerical experiments
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorDate
1942-
http://library.link/vocab/creatorName
Bouza Herrera, Carlos Narciso
Dewey number
519.5/2
Index
index present
LC call number
QA276.6
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
SpringerBriefs in Statistics,
http://library.link/vocab/subjectName
  • Sampling (Statistics)
  • Mathematical statistics
Label
Handling missing data in ranked set sampling, Carlos N. Bouza-Herrera, (electronic book)
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • 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
Control code
SPR861744903
Dimensions
unknown
Extent
1 online resource (x, 116 pages).
File format
unknown
Form of item
online
Isbn
9783642398988
Level of compression
unknown
Other control number
10.1007/978-3-642-39899-5
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote
Label
Handling missing data in ranked set sampling, Carlos N. Bouza-Herrera, (electronic book)
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • 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
Control code
SPR861744903
Dimensions
unknown
Extent
1 online resource (x, 116 pages).
File format
unknown
Form of item
online
Isbn
9783642398988
Level of compression
unknown
Other control number
10.1007/978-3-642-39899-5
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote

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