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...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | SpringerBriefs in Statistics
|
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
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 |
Table des matières:
- 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