We have used the generalized linearization technique based on the concept of influence
function, as Osier has done (Osier 2009), to estimate the variance of complex statistics such …

A common problem is to compare two cross-sectional estimates for the same study variable
taken on two different waves or occasions, and to judge whether the change observed is …

Currently, high precision estimation of non-linear parameters such as Gini indices, low
income proportions or other measures of inequality is particularly crucial. We propose a …

In Bruch et al.(2011) the point estimator under consideration was the Horvitz-Thompson
estimator of a population total. A special attention was put on different variance estimators …

Testing the parametric distribution of a random variable is a fundamental problem in
exploratory and inferential statistics. Classical empirical distribution function based …

n this paper, we investigate how a big non-probability database can be used to improve
estimates from a small probability sample through data integration techniques. In the …

We propose a new replicate variance estimator suitable for differentiable functions of
estimated totals. The proposed variance estimator is defined for any unequal‐probability …

Panel surveys are frequently used to measure the evolution of parameters over time. Panel
samples may suffer from different types of unit non-response, which is currently handled by …

Jean-Claude Deville is one of the most prominent researcher in survey sampling theory and
practice. His research on balanced sampling, indirect sampling and calibration in particular …

Poverty indicators are the fundamental statistics used to optimally determine the standards
of living of people in any country. These are used for policy planing and analysis. Poverty …