This paper deals with the criticims that Corrado Gini addressed to the so called Anglo-Saxon theories of inference. Such criticisms were based on a Bayesian. Chiandotto, B. (). L’approccio bayesiano empirico alla problematica dell’ inferenza statistica. In. I fondamenti dell’inferenza statistica, Dipartimento statistico. For these this aspects see also Chiandotto (). It must be . Castellano, V. ( ) Sulle teorie della cosidetta inferenza statistica, Rivista Italiana di Economia .

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Parenti University of Florence] Web: Rampichini [The student ratings of the courses are published on Teaching: Estimation issues in logistic multilevel models with crossed random effects: Master thesis in Statistica, scienze attuariali e finanziarie. Forecasting inderenza match results: The case of Italian Serie A. Tesi di laurea in Statistica. Inference statistia variance components in bioassay experiments. Tesi di laurea magistrale in Statistica, Scienze Attuariali e Finanziarie.

Il Paradosso di Simpson nell analisi statistica: Profilo storico e casi di studio. Tesi di laurea in Economia Azienale. Review and advances in Quantile Regression. Tesi di laurea magistrale in Scienze Statistiche. Multilevel Analysis in Household Surveys: An Application to Health Condition Data. February [co-tutor] Silvia Metelli: Caratteristiche e determinanti dell’abbandono scolastico nell’area pratese. Valutazione degli apprendimenti degli studenti della scuola primaria chisndotto He also investigated methods for causal inference in the potential outcomes framework, dealing with truncation and partial compliance.

In the recent research activity, he considered a variety of statistical methods including IRT models, latent growth curve models, mixture models, and quantile infeerenza.

The methodological work is typically driven by applications on real data in different fields including economics, demography, medicine, and bibliometrics. The question of accounting for uncertainty when assessing university research performance.


Communications in Statistics – Theory and Methods. A multilevel impact evaluation. World Development, 76, pp DOI: Journal of Statistical Computation and Simulation. A performance evaluation of the care delivered to chronic patients by Italian GPs. Health Policy, 1 pp DOI: A Joint Multilevel Analysis for India.

World Development, 41, pp Samuh M. International Journal of Statistics. Structural Equation Inferenzs, 14 1pp Grilli L. Statistical Methods and Applications, 16 3pp Testa M. infeenza

Leonardo Grilli Born in Pistoia, 13th April 1970 Resident in Buggiano (PT) Via Pascoli 6

Population, 61pp Grilli L. Statistical Methods and Applications, 13 3pp Grilli L. Survey Methodology, 30 1pp Grilli L. Statistical Modelling, 2, pp Grilli L. Statistica, anno LXII, n. Kenett R and Salini S eds.

Modern Analysis chianditto Customer Surveys: Chapter 19, pp Chichester: Physica-Verlag, pp Grilli L. In Effectiveness of University Education in Italy: Employability, Competences, Human Capital L.

Inserito il 24 ottobre Bini M. Riflessioni e proposte operative.

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Le nuove frontiere della Scuola. Periodico quadrimestrale di cultura, pedagogia e didattica. Multilevel Modelling Newsletter, 17 1.

European Journal of Population, 20 3pp Grilli L. Recent contributions at conferences – Grilli L. Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: Pisa, 15 July Grilli L. Modelling gained university credits: Bucharest, 17 June Bacci S. Evaluation of university students performance through a multidimensional finite mixture IRT model. Salerno, June Grilli L.

Specification issues in latent growth models with multiple indicators. Clustering upper level units in multilevel models for ordinal data. Unsupervised clustering of upper level units in multilevel linear models. Unsupervised clustering of higher level units in multilevel linear models. Catania, SeptemberGrilli L. Multivariate multilevel modelling of student achievement data. Cagliari, June Mauro V. Measuring the impact of community-based rehabilitation programs from a CA perspective: Are course ratings predictive of freshmen performances?


Evidence from the University of Florence. Predicting students academic performance: Modena, September 18 20, Book of Abstracts, Eds.

Bayesian estimation with INLA for logistic multilevel models. A concomitant variable mixture model for predicting inferejza gained credits. Advances in latent variables: Specification of random effects in multilevel models: Catania, SeptemberBartolucci F. Latent class inverse probability weighting to estimate causal effects of sequential treatments under unobserved confounding.

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University admission test and students careers: Inverse probability weighting to estimate causal effects of sequential treatments: University chiahdotto test and students’ careers: An analysis of the careers of Italian PhD graduates: Latent growth models with multiple indicators: A review of multilevel models for ordinal data. University of Milan, 14th June Grilli L. Differential variability of test scores among schools: Modena, September member of the scientific committee and organizer of the scientific session Measurement of student achievement – 46th Scientific Meeting of the Italian Statistical Society.

Rome, June organizer of the scientific session Program evaluation: Offerta formativa di secondo livello e domanda di lavoro qualificato. Disegno statistiica analisi di studi sperimentali e osservazionali per le decisioni coord: Mealli – Futuro in Ricerca Modelli mistura e a variabili latenti per l’inferenza causale e l’analisi di dati socioeconomici coord.

Chiandotto – PRIN Analisi delle strutture latenti: Monari – PRIN Metodi chkandotto modelli statistici chiwndotto la valutazione dei processi formativi coord. Reti bayesiane ed inferenza causale: Consonni – PRIN Fabbris – PRIN Reti bayesiane e modelli grafici coord. Gori Seminars – Modelling gained university credits: