Many-to-One indirect sampling with application to the French postal traffic estimation-Reference-Cited by-同舟云学术

Many-to-One indirect sampling with application to the French postal traffic estimation

Published:2023-03-01 Issue:1 Volume:17 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Medous Estelle¹,Goga Camelia²,Ruiz-Gazen Anne¹,Beaumont Jean-François³,Dessertaine Alain⁴,Puech Pauline⁴

Affiliation:

1. Toulouse School of Economics, Université Toulouse 1 Capitole 1

2. Laboratoire de Mathématiques de Besançon, Université de Bourgogne Franche-Comté

3. Modern Statistical Methods and Data science Branch, Statistics Canada

4. Département Conception et Pilotage des Etudes Statistiques de la Branche Service Courrier Colis, La Poste

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference12 articles.

1. DE VITIIS, C., FALORSI, S., INGLESE, F., MASI, A., PANNUZI, N. and RUSSO, M. (2014). A methodological approach based on indirect sampling to survey the homeless population. Riv. Stat. Uff. 1 9–30.

2. DESSERTAINE, A. and FLUTEAUX, L. (2004). Utilisation de la méthode généralisée du partage des poids dans le cadre des estimations de flux de courrier à la poste. In Echantillonnage et Méthodes D’enquêtes, Science Sup (P. Ardilly, ed.) 219–227. Dunod, Paris, France.

3. DEVILLE, J.-C. and LAVALLÉE, P. (2006). Indirect sampling: The foundations of the generalized weight share method. Surv. Methodol. 32 165–176.

4. DEVILLE, J.-C. and MAUMY-BERTRAND, M. (2006). Extension of the indirect sampling method and its application to tourism. Surv. Methodol. 32 177–185.

5. FALORSI, P. D., RIGHI, P. and LAVALLÉE, P. (2019). Cost optimal sampling for the integrated observation of different populations. Surv. Methodol. 45 485–511.