activity
20192024
most citedSimultaneous Inference for Empirical Best Predictors with a Poverty Study in Small Areas

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2024

An statistical analysis of COVID-19 intensive care unit bed occupancy data

Naomi Diz-Rosales, María-José Lombardía, Domingo Morales

The COVID-19 pandemic has had far-reaching consequences, highlighting the urgency for explanatory and predictive tools to track infection rates and burden of care over time and spa…

stat.ME2020

A new approach to the gender pay gap decomposition by economic activity

M. J. Lombardía, E. López-Vizcaíno, C. Rueda

The aim of this paper is to present an original approach to estimate the gender pay gap. We propose a model-based decomposition, similar to the most popular approaches, where the f…

stat.ME2020

Empirical best prediction of small area bivariate parameters

M. D. Esteban, M. J. Lombardía, E. López-Vizcaíno +2

This paper introduces empirical best predictors of small area bivariate parameters, like ratios of sums or sums of ratios, by assuming that the target unit-level vector follows a b…

stat.AP2019★ 9 cited

Simultaneous Inference for Empirical Best Predictors with a Poverty Study in Small Areas

Katarzyna Reluga, María-José Lombardía, Stefan Sperlich

Today, generalized linear mixed models are broadly used in many fields. However, the development of tools for performing simultaneous inference has been largely neglected in this d…

stat.ME2019

Simultaneous inference for linear mixed model parameters with an application to small area estimation

Katarzyna Reluga, María José Lombardía, Stefan Andreas Sperlich

Over the past decades, linear mixed models have attracted considerable attention in various fields of applied statistics. They are popular whenever clustered, hierarchical or longi…