Alessandro Barbiero

According to our database, Alessandro Barbiero authored at least 14 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Estimation of the reliability parameter for a Poisson-exponential stress-strength model.

Alessandro Barbiero

Int. J. Syst. Assur. Eng. Manag., March, 2024

Correction to: Discrete analogues of continuous bivariate probability distributions.

Alessandro Barbiero

Ann. Oper. Res., January, 2024

2022

Approximation of continuous random variables for the evaluation of the reliability parameter of complex stress-strength models.

Alessandro Barbiero, Asmerilda Hitaj

Ann. Oper. Res., 2022

Discrete analogues of continuous bivariate probability distributions.

Alessandro Barbiero

Ann. Oper. Res., 2022

Properties and estimation of a bivariate geometric model with locally constant failure rates.

Alessandro Barbiero

Ann. Oper. Res., 2022

2020

Discrete Weibull regression for modelling football outcomes.

Alessandro Barbiero

Int. J. Bus. Intell. Data Min., 2020

2019

A bivariate count model with discrete Weibull margins.

Alessandro Barbiero

Math. Comput. Simul., 2019

2017

An R package for the simulation of correlated discrete variables.

Alessandro Barbiero, Pier Alda Ferrari

Commun. Stat. Simul. Comput., 2017

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

Alessandro Barbiero

Commun. Stat. Simul. Comput., 2017

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

Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari

Adv. Data Anal. Classif., 2017

2014

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

Alessandro Barbiero

Adv. Decis. Sci., 2014

2012

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

Alessandro Barbiero

Math. Comput. Simul., 2012

2011

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

Alessandro Barbiero

Commun. Stat. Simul. Comput., 2011

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

Pier Alda Ferrari, Paola Annoni, Alessandro Barbiero, Giancarlo Manzi

Comput. Stat. Data Anal., 2011