Logo du site
  • English
  • Français
  • Se connecter
Logo du site
  • English
  • Français
  • Se connecter
  1. Accueil
  2. Université de Neuchâtel
  3. Publications
  4. Deville and Särndal's calibration: revisiting a 25 years old successful optimization problem
 
  • Details
Options
Vignette d'image

Deville and Särndal's calibration: revisiting a 25 years old successful optimization problem

Auteur(s)
Devaud, Denis 
Collaborateurs de la Faculté des sciences 
Tillé, Yves 
Institut de statistique 
Date de parution
2019-7-23
In
TEST
No
28
De la page
1033
A la page
1065
Résumé
In 1992, in a famous paper, Deville and Särndal proposed the calibration method in order to adjust samples on known population totals. This paper had a very important impact in the theory and practise of survey statistics. In this paper, we propose a rigorous formalization of the calibration problem viewed as an optimization problem. We examine the main calibration functions and we discuss the question of the existence of solutions. We also propose an alternate way of solving the optimization problem given by the calibration principle. We finally present a set of simulations in order to compare the different methods.
Identifiants
https://libra.unine.ch/handle/123456789/28273
Type de publication
journal article
Dossier(s) à télécharger
 main article: 2020-05-06_2607_3572.pdf (435.55 KB)
google-scholar
Présentation du portailGuide d'utilisationStratégie Open AccessDirective Open Access La recherche à l'UniNE Open Access ORCIDNouveautés

Service information scientifique & bibliothèques
Rue Emile-Argand 11
2000 Neuchâtel
contact.libra@unine.ch

Propulsé par DSpace, DSpace-CRIS & 4Science | v2022.02.00