2013, ISBN: 3642398987
[EAN: 9783642398988], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], 62D05,62F05,62F10,62PXX,62F40; ESTIMATIONOFTHEPOPULATIONMEAN; IMPUTATIONOFMISSINGOBSERVATIONS; MISSINGDATA; RAN… More...
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2015, ISBN: 9783642398988
[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for… More...
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2015, ISBN: 9783642398988
[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for… More...
booklooker.de |
2013, ISBN: 3642398987
[EAN: 9783642398988], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], 62D05,62F05,62F10,62PXX,62F40; ESTIMATIONOFTHEPOPULATIONMEAN; IMPUTATIONOFMISSINGOBSERVATIONS; MISSINGDATA; RAN… More...
ZVAB.com AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)] NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) Details... |
2013, ISBN: 3642398987
[EAN: 9783642398988], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], 62D05,62F05,62F10,62PXX,62F40; ESTIMATIONOFTHEPOPULATIONMEAN; IMPUTATIONOFMISSINGOBSERVATIONS; MISSINGDATA; RAN… More...
ZVAB.com AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)] NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) Details... |
2013, ISBN: 3642398987
[EAN: 9783642398988], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], 62D05,62F05,62F10,62PXX,62F40; ESTIMATIONOFTHEPOPULATIONMEAN; IMPUTATIONOFMISSINGOBSERVATIONS; MISSINGDATA; RAN… More...
2015, ISBN: 9783642398988
[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for… More...
2015
ISBN: 9783642398988
[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for… More...
2013, ISBN: 3642398987
[EAN: 9783642398988], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], 62D05,62F05,62F10,62PXX,62F40; ESTIMATIONOFTHEPOPULATIONMEAN; IMPUTATIONOFMISSINGOBSERVATIONS; MISSINGDATA; RAN… More...
2013, ISBN: 3642398987
[EAN: 9783642398988], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], 62D05,62F05,62F10,62PXX,62F40; ESTIMATIONOFTHEPOPULATIONMEAN; IMPUTATIONOFMISSINGOBSERVATIONS; MISSINGDATA; RAN… More...
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Details of the book - Handling Missing Data in Ranked Set Sampling
EAN (ISBN-13): 9783642398988
ISBN (ISBN-10): 3642398987
Hardcover
Paperback
Publishing year: 2013
Publisher: Springer Berlin
Book in our database since 2014-04-11T16:31:16+01:00 (London)
Detail page last modified on 2024-04-16T11:30:56+01:00 (London)
ISBN/EAN: 9783642398988
ISBN - alternate spelling:
3-642-39898-7, 978-3-642-39898-8
Alternate spelling and related search-keywords:
Book author: herre, herr, herrera, bou
Book title: ranke, missing, set
Information from Publisher
Author: Carlos N. Bouza-Herrera
Title: SpringerBriefs in Statistics; Handling Missing Data in Ranked Set Sampling
Publisher: Springer; Springer Berlin
116 Pages
Publishing year: 2013-10-15
Berlin; Heidelberg; DE
Printed / Made in
Language: English
53,49 € (DE)
54,99 € (AT)
67,13 CHF (CH)
POD
X, 116 p.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Mathematik; 62D05, 62F05, 62F10, 62Pxx, 62F40; estimation of the population mean; imputation of missing observations; missing data; ranked set sampling; subsampling the non response stratum; Statistical Theory and Methods; Biostatistics; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Sozialforschung und -statistik; EA
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.Fills the gap in the literature on missing observations for ranked set sampling models Provides ready-to-use models for dealing with non responses in surveys Prepares the reader to develop further research on estimation with missing observations? Includes supplementary material: sn.pub/extras
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