Alessandro Zini

Alessandro Zini è dal 2002 professore associato di Statistica presso il Dipartimento di Statistica e Metodi Quantitativi dell’Università degli Studi di Milano-Bicocca. Le sue principali aree di interesse e di ricerca riguardano inferenza, distribuzioni e copule, modelli quantitativi per la misura del rischio di credito, trattamento dei dati qualitativi, metodologie e applicazioni di statistica multivariata, modelli di statistica spaziale. Inoltre, è specializzato in filosofia antica, con particolare riferimento alle questioni musicali, avendo pubblicato lavori ad esse inerenti sulla Rivista Internazionale di Musica Sacra.

Author's titles

A comparison among two generalized beta-mixtures of polisicchio distributions and the zenga model digital

by Lucio De Capitani, Alessandro Zini

Year: 2014

In this paper, the performances in fitting incomes of three different mixtures of Polisicchio distributions are compared...

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The confluent hypergeometric-mixture of Polisicchio distributions: a generalized Zenga distribution digital

by Lucio De Capitani, Alessandro Zini

Year: 2013

We propose a generalization of the three-parameters Zenga distribution obtaining a four-parameters model. The generalization is performed using the confluent hypergeometric distribution as mixing distributions in place of the classical beta. We compare the flexibility of the resulting model with that of the Zenga distribution observing some improvements.

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A note on the bipolar mean: is it a single mean? digital

by Alessandro Zini

Year: 2008

In this note a generalisation of the bipolar mean, recently introduced in the literature by Maffenini and Zenga (2005), is presented and discussed. It seems interesting in those contexts, where the categories of an ordinal variable are to be thought as ‘‘non equidistant’’, like in some problems in the customer satisfaction analyses. It is pointed out that the particular bipolar mean chosen for a problem can modify the ‘‘ordering’’ among the frequency distributions with fixed sum N.

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Criteri ottimali e “quasi” ottimali di classificazione per caratteri continui nel caso della varianza fra i gruppi digital

by Alessandro Zini

Year: 2005

This work presents a continuous characters classification tecnique, which satisfies some optimality criterion, such as the maximisation of the variance “between” or the minimisation of the concentration “within” the groups, measured by some index which admits a decomposition.

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Verifiche d’ipotesi su medie aritmetiche ponderate dei parametri di una variabile casuale multinomiale digital

by Alessandro Zini

Year: 2003

In this work the hypothesis testing problem that a weighted mean of the probabilities of a multinomial distribution does not exceed a target value, with unilateral alterative will be studyed.

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