activity
20122026
most citedA hierarchical latent class model for predicting disability small area counts from survey data

11 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

A Partial Fay-Herriot model for Small Area Estimation: Estimating district-level consumption in Mozambique

Francesco Schirripa Spagnolo, Nicola Salvati, Enrico Fabrizi

This paper proposes a new small area estimation approach that integrates Partial Least Squares within the Fay-Herriot model to address the challenges posed by high-dimensional and…

stat.ME2024

Accounting for Mismatch Error in Small Area Estimation with Linked Data

Enrico Fabrizi, Nicola Salvati, Martin Slawski

In small area estimation different data sources are integrated in order to produce reliable estimates of target parameters (e.g., a mean or a proportion) for a collection of small…

stat.ME2023★ 1 cited

Mapping poverty at multiple geographical scales

Silvia De Nicolò, Enrico Fabrizi, Aldo Gardini

Poverty mapping is a powerful tool to study the geography of poverty. The choice of the spatial resolution is central as poverty measures defined at a coarser level may mask their…

stat.ME2019★ 2 cited

Small Area Estimation with Linked Data

Ray Chambers, Enrico Fabrizi, Nicola Salvati

In Small Area Estimation data linkage can be used to combine values of the variableof interest from a national survey with values of auxiliary variables obtained from another sourc…

stat.AP2012★ 11 cited

A hierarchical latent class model for predicting disability small area counts from survey data

Enrico Fabrizi, Giorgio E. Montanari, Maria Giovanna Ranalli

This article considers the estimation of the number of severely disabled people using data from the Italian survey on Health Conditions and Appeal to Medicare. Disability is indire…