Among the goals of statistical matching, a very important one is the estimation of the joint
distribution of variables not jointly observed in a sample survey but separately available from …

In several applications there is the need to consider different data sources and to integrate
information: a specific case is the so-called statistical matching, where data sources have …

Abstract Framework of this paper is statistical data editing, specifically how to edit or impute
missing or contradictory data and how to merge two independent data sets presenting some …

Survey data are still contemplated as one of the main sources in official statistics. However,
due to the high cost of conducting a survey, as well as the respondent burden, it may not be …

The problem of inference about the joint distribution of two categorical variables based on
knowledge or observations of their marginal distributions, to be referred to as categorical …

Statistical matching is progressively emerging as a straightforward approach to data
integration. This method of increasing importance and interest is useful to address the …

In the framework of regression trees, this paper provides a recursive partitioning
methodology to deal with a non-standard response variable. Specifically, either multivalued …

An extensive investigation via simulation is carried out with the aim of comparing three
nonparametric, single imputation methods in the presence of multiple data patterns. The …

This study aims to improve the regional well‐being literature on the so‐called “reversal
issue” of the expenditure‐happiness nexus, accounting for two main sources of …

A unified principled framework for resampling based on pseudo-populations: Asymptotic
theory Page 1 Bernoulli 26(2), 2020, 1044–1069 https://doi.org/10.3150/19-BEJ1138 A unified …