Handling missing data in ranked set sampling
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 i...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2013. |
| Seri Bilgileri: | SpringerBriefs in Statistics
|
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Handling Missing Data in Ranked Set Sampling, Texte imprimé, 9783642398988 • Handling Missing Data in Ranked Set Sampling, Texte imprimé, 9783642399008 |
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| 041 | 0 | |a eng | |
| 082 | |a 519.5 | ||
| 100 | 1 | |a Bouza-Herrera, Carlos N., |d 1942- | |
| 245 | 1 | 0 | |a Handling missing data in ranked set sampling |c by Carlos N. Bouza-Herrera. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a SpringerBriefs in Statistics |x 2191-5458 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Preface Missing Observations and Data Quality Improvement Sampling Using Ranked Sets: Basic Concepts The Non Response Problem: Sub-sampling among the Non Respondents Imputation of the Missing Data Some Numerical Studies of the Behavior of RSS | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 776 | 0 | |t Handling Missing Data in Ranked Set Sampling |b Texte imprimé |z 9783642398988 | |
| 776 | 0 | |t Handling Missing Data in Ranked Set Sampling |b Texte imprimé |z 9783642399008 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-39899-5 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-4WQ0LZHX-R |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747813140 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-39899-5 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750829451 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-39899-5 |z Accès INSA CVL | |
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