Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Alessandro Barbiero"'
Autor:
Giovanni Mistraletti, Michele Umbrello, Silvia Salini, Paolo Cadringher, Paolo Formenti, Davide Chiumello, Cristina Villa, Riccarda Russo, Silvia Francesconi, Federico Valdambrini, Giacomo Bellani, Alessandra Palo, Francesca Riccardi, Enrica Ferretti, Maurilio Festa, Anna Maria Gado, Martina Taverna, Cristina Pinna, Alessandro Barbiero, Pier Alda Ferrari, Gaetano Iapichino, the SedaEN investigators
Publikováno v:
Critical Care, Vol 23, Iss 1, Pp 1-10 (2019)
Abstract Background ICU patients must be kept conscious, calm, and cooperative even during the critical phases of illness. Enteral administration of sedative drugs might avoid over sedation, and would be as adequate as intravenous administration in p
Externí odkaz:
https://doaj.org/article/e8de613c5d644b08987d0fcdd4f2985a
Autor:
Alessandro Barbiero
Publikováno v:
Austrian Journal of Statistics, Vol 49, Iss 4 (2020)
The need for building and generating statistically dependent random variables arises in various fields of study where simulation has proven to be a useful tool. In this work, we present an approach for constructing ordinal variables with arbitrarily
Externí odkaz:
https://doaj.org/article/624293e9a7384632acb4d90dd894445f
Autor:
Alessandro Barbiero
Publikováno v:
Journal of Probability and Statistics, Vol 2013 (2013)
The type III discrete Weibull distribution can be used in reliability analysis for modeling failure data such as the number of shocks, cycles, or runs a component or a structure can overcome before failing. This paper describes three methods for esti
Externí odkaz:
https://doaj.org/article/cc3b4f30eb1a477cbfedfa9a6af68f86
Autor:
Asmerilda Hitaj, Alessandro Barbiero
Publikováno v:
Annals of Operations Research. 315:1573-1598
In many management science or economic applications, it is common to represent the key uncertain inputs as continuous random variables. However, when analytic techniques fail to provide a closed-form solution to a problem or when one needs to reduce
Autor:
Alessandro Barbiero, Asmerilda Hitaj
We consider the problem of approximating a continuous random variable, characterized by a cumulative distribution function (cdf) F(x), by means of k points, $$x_1 x 1 < x 2 < ⋯ < x k , with probabilities $$p_i$$ p i , $$i=1,\dots ,k$$ i = 1 , ⋯ ,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e7c96879e6de448dc27787df1b0d73
https://hdl.handle.net/2434/943433
https://hdl.handle.net/2434/943433
Autor:
Alessandro Barbiero, Asmerilda Hitaj
Publikováno v:
10TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY.
Autor:
Alessandro Barbiero, Asmerilda Hitaj
Publikováno v:
AIP Conference Proceedings.
Autor:
Alessandro Barbiero
Publikováno v:
Annals of Operations Research. 312:23-43
In many real-world applications, the phenomena of interest are continuous in nature and modeled through continuous probability distributions, but their observed values are actually discrete and hence it would be more reasonable and convenient to choo
Autor:
Alessandro Barbiero
Publikováno v:
Mathematics and Computers in Simulation. 156:91-109
Multivariate discrete data arise in many fields (statistical quality control, epidemiology, failure and reliability analysis, etc.) and modelling such data is a relevant task. Here we consider the construction of a bivariate model with discrete Weibu
Autor:
Alessandro Barbiero
Publikováno v:
AStA Advances in Statistical Analysis.
Focusing on point-scale random variables, i.e. variables whose support consists of the first m positive integers, we discuss how to build a joint distribution with pre-specified marginal distributions and Pearson’s correlation $$\rho $$ ρ . After