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New methods to handle nonresponse in surveys

Auteur(s)
Hasler, Caren 
Institut de statistique 
Maison d'édition
Neuchâtel
Date de parution
2015
Mots-clés
  • survey sampling

  • missing data

  • imputation

  • reweighting

  • nonignorable nonrespo...

  • balanced sampling

  • stratified sampling.

Résumé
This document focuses on nonresponse in sample surveys. Mainly, methods to handle nonresponse in complex surveys are proposed. The first chapter of this document introduces concepts and notation of survey sampling and nonresponse. The second chapter proposes an algorithm for stratified balanced sampling for populations with large numbers of strata. The third chapter of this document presents a hot-deck imputation method which combines balanced sampling and a nonparametric approach. This method uses the algorithm presented in the second chapter. The next chapter presents a nonparametric method of imputation for item nonresponse in surveys based on additive regression models. Finally, the fifth chapter proposes three reweighting procedures for handling nonignorable nonresponse in surveys providing that the values of the variable of interest are obtained from a mixture distribution.
Notes
, Thèse de doctorat, Université de Neuchâtel, Institut de Statistique
Lié au projet
Convention Université de Neuchâtel/Office fédéral de la statistique 
URI
https://libra.unine.ch/handle/123456789/23968
Type de publication
Resource Types::text::thesis::doctoral thesis
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