Alessandro Barbiero

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Handling Missing Data in Presence of Categorical Variables: a New Imputation Procedure

Pier Alda Ferrari, Alessandro Barbiero, Giancarlo Manzi, 2011 .

What makes for a good missing value imputation? New algorithmic approaches in PCA and random forests-based techniques

Pier Alda Ferrari, Alessandro Barbiero, Giancarlo Manzi, 2012 .

Comparing Interval Estimators for Reliability in a Dependent Set-up

Alessandro Barbiero, 2010 .

A Discretizing Method for Reliability Computation in Complex Stress-strength Models

Alessandro Barbiero, A. Barbiero, 2010 .

Least-squares and minimum chi-square estimation in a discrete Weibull model

Alessandro Barbiero, A. Barbiero, 2017, Commun. Stat. Simul. Comput..

GenForImp: The Forward Imputation: A Sequential Distance-Based Approach for Imputing Missing Data. R package version 1.0.

Pier Alda Ferrari, Alessandro Barbiero, Giancarlo Manzi, 2015 .

Algorithmic imputation techniques for missingdata: performance comparisons anddevelopment perspectives

Pier Alda Ferrari, Alessandro Barbiero, Giancarlo Manzi, 2012 .

A general discretization procedure for reliability computation in complex stress-strength models

Alessandro Barbiero, A. Barbiero, 2012, Math. Comput. Simul..

Discrete Weibull regression for modelling football outcomes

Alessandro Barbiero, 2018 .

A sequential distance-based approach for imputing missing data: Forward Imputation

Pier Alda Ferrari, Alessandro Barbiero, Giancarlo Manzi, 2017, Adv. Data Anal. Classif..

Data Transformation for Confidence Interval Improvement: An Application to the Estimation of Stress-Strength Model Reliability

Alessandro Barbiero, 2014, Adv. Decis. Sci..

Nonlinear Principal Component Analysis

Pier Alda Ferrari, Alessandro Barbiero, A. Barbiero, 2011 .

An imputation method for categorical variables with application to nonlinear principal component analysis

Paola Annoni, Pier Alda Ferrari, Alessandro Barbiero, 2011, Comput. Stat. Data Anal..

Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison

Pier Alda Ferrari, Alessandro Barbiero, Giancarlo Manzi, 2014 .

An R package for the simulation of correlated discrete variables

Pier Alda Ferrari, Alessandro Barbiero, A. Barbiero, 2017, Commun. Stat. Simul. Comput..

Simulating Ordinal Data

Pier Alda Ferrari, Alessandro Barbiero, A. Barbiero, 2012, Multivariate behavioral research.

A bivariate count model with discrete Weibull margins

Alessandro Barbiero, A. Barbiero, 2019, Math. Comput. Simul..

Confidence Intervals for Reliability of Stress-Strength Models in the Normal Case

Alessandro Barbiero, 2011, Commun. Stat. Simul. Comput..

Bootstrapping under Rao-Sampford ProbabilityProportional to Size Sampling: Computational Aspects and ApplicationPerspectives

Alessandro Barbiero, Giancarlo Manzi, Fulvia Mecatti, 2011 .

Bootstrapping probability-proportional-to-size samples via calibrated empirical population

Alessandro Barbiero, Giancarlo Manzi, Fulvia Mecatti, 2015 .

Bootstrap algorithms for variance estimation in πPS sampling

Alessandro Barbiero, Fulvia Mecatti, 2010 .

Bootstrap algorithms for variance estimation in complex survey sampling

Alessandro Barbiero, Fulvia Mecatti, 2009 .