Brief overview of survey sampling techniques with R

Camelia Goga (camelia.goga@univ-fcomte.fr)
Université de Bourgogne Franche-Comté

Abstract

For the last decade, many R packages have been suggested for performing sample selection according to various sampling designs as well as design-based estimation of finite population interest parameters and of their variance. The goal of this article is to give a brief overview of some of these packages with application on two datasets. A special attention is given to calibration issues.

Keywords: over-calibration, penalized calibration, principal component analysis
JEL Classification: C83, C88

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Romanian Statistical Review 1/2018