Ugo Guarnera

发表

Imputation through finite Gaussian mixture models

Marco Di Zio, Orietta Luzi, Ugo Guarnera, 2007, Comput. Stat. Data Anal..

A mixture of mixture models for a classification problem: The unity measure error

Marco Di Zio, Roberto Rocci, Ugo Guarnera, 2007, Comput. Stat. Data Anal..

Estimation of the main variables of the economic account of small and medium enterprises based on administrative sources

Marco Di Zio, Roberta Varriale, Ugo Guarnera, 2016 .

A multiple imputation method for non-Gaussian data

Marco Di Zio, Ugo Guarnera, 2008 .

Selective Editing of Business Survey Data Based on Contamination Models: an Experimental Application

Marco Di Zio, Ugo Guarnera, Teresa Buglielli, 2011 .

On Multiple Imputation Through Finite Gaussian Mixture Models

Marco Di Zio, Ugo Guarnera, 2007, GfKl.

Predictive Mean Matching using a Factor Model, an application to the Business Multipurpose Survey

Roberta Varriale, Ugo Guarnera, R. Varriale, 2013 .

A multiple imputation approach to deal with the unity measure error

Marco Di Zio, Ugo Guarnera, M. D. Zio, 2010, Stat. Methods Appl..

Estimation from contaminated multi-source data based on latent class models

Roberta Varriale, Ugo Guarnera, R. Varriale, 2016 .

Methods and software for editing and imputation: recent advancements at Istat

Marco Di Zio, Orietta Luzi, Ugo Guarnera, 2004 .

A two-step selective editing procedure based on contamination models

Marco Di Zio, Ugo Guarnera, 2013 .

Semiparametric predictive mean matching

Ugo Guarnera, Marco Di Zio, Marco Di Zio, 2009 .

Recommended Practices for Editing and Imputation in Cross-Sectional Business Surveys.

Ton de Waal, Jeroen Pannekoek, Marco Di Zio, 2007 .