1,720,982 research outputs found
Employment status and education/employment relationship of PhD graduates from the University of Ferrara
No full textTwo sample surveys of Post-Docs were planned and carried out at the University of Ferrara in 2004 and 2007 aimed at determining the professional status of Post-Docs, the relationship between their PhD education and employment, and their satisfaction with certain aspects of the education and research program. As part of these surveys, two methodological contributions were developed. The first concerns an extension of the non-parametric combination of dependent rankings to construct a synthesis of composite indicators measuring satisfaction with particular aspects of PhD programs [R. Arboretti Giancristofaro and L. Salmaso, Global ranking indicators with application to the evaluation of PhD programs, Atti del Convegno “Valutazione e Customer Satisfaction per la Qualita dei Servizi”, Roma, 8-9 Settembre 2005, pp. 19-22; R. Arboretti Giancristofaro, S. Bonnini, and L. Salmaso, A performance indicator for multivariate data, Quad. Stat. 9 (2007), pp. 1-29; R. Arboretti Giancristofaro, F. Pesarin, and L. Salmaso, Nonparametric approaches for multivariate testing with mixed variables and for ranking on ordered categorical variables with an application to the evaluation of PhD programs, in Real Data Analysis, S. Sawilowsky, ed., a volume in Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching, Ronald C. Serlin, series ed., Information Age Publishing, Charlotte, North Carolina, 2007, pp. 355-385]. The procedure was applied to highlight differences in the interviewed Post-Docs' multivariate satisfaction profiles in relation to two aspects: education/employment relationship; employment expectations; and opportunities. The second consists of an inferential procedure providing a solution to the problem of hypothesis testing, where the objective is to compare the heterogeneity of two populations on the basis of sampling data [G.R. Arboretti, S. Bonnini, and F. Pesarin, A permutation approach for testing heterogeneity in two-sample categorical variables, Stat. Comput. (2009) doi: 10.1007/S11222-008-9085-8.]. The procedure was applied to compare the degrees of heterogeneity of Post-Doc judgments in the two surveys with regard to the adequacy of the PhD education for the work carried out.employment survey, performance indicators, heterogeneity tests,
Nonparametric directional tests in the presence of confounding factors and categorical data
No full textIn modern socio-economic systems, often the aim of a performance analysis or quality evaluation is to compare different products, different manifacturing plants or service centres, difefrent actions or distinct treatments. The question is "which is better?". This is complicated because the considered aspects are often measured through categorical data and the results can be affected by confounding factors. To solve this problem we discuss some directional permutation tests based on the nonparametric combination of dependent permutation tests (NPC) for two-sample comparisons in the presence of ordered categorical variables and confounding factors. In particula we present a new permutation test based on the combination of a finite number of sample moments. To reduce the confounding effects we consider the joint application of statificstion and NPC method. We also show the results of Monte Carlo simulations in order to compare permutation solutions with other nonparametric tests and to evaluate the robustness of the test based on moments
Analisi statistica degli incidenti stradali nelle province di Padova e Ferrara: caratteristiche ed evoluzione temporale del fenomeno
No full textIn quesa monografia vengono analizzati statisticamente gli incidenti stradali nelle province di Padova e Ferrara per valutare il grado di pericolosità e mortalità delle strade a maggior percorrenza delle due provincie considerate. L'analisi viene realizzata anche in modo dinamico per valutare eventuali evoluzioni nel tempo
Ordinal Classification in multidimensional problems
No full textExperimental data with a specific and complicated experimental protocol are taken into account and elaborated. A critical review of the most important steps in the synthesis of multivariate responses and their main properties is considered
Simultaneous Permutation Confidence Intervals with Application to the Evaluation of Aortic Stenosis Progression from Echocardiographic Studies
No full textSimultaneous Permutation Confidence Intervals to the evaluate Aortic Stenosis Progression from Echocardiographic Studies are proposed, giving a nonparametric methodological solution to the problem of multivariate interval estimation of Aortic Stenosis Progression from Echocardiographic Studies
Some new results on univariate and multivariate permutation tests for ordinal categorical variables under restricted alternatives
No full textMultivariate tests, Nonparametric combination, Ordered categorical variable, Permutation test, Restricted alternatives, Sampling moments,
Tendenze Evolutive del Turismo
No full textIn questo documento sono riportati i risultati dell’indagine statistica in corso sul settore del Turismo finalizzata alla revisione del Piano Territoriale di Coordinamento della Provincia di Ferrara. Tali risultati sono relativi alla descrizione statistica della consistenza e composizione degli esercizi turistici e dell’andamento dei movimenti registrati nell’arco temporale 1996-2003 (alcune analisi si riferiscono ad un arco temporale più ampio: 1987-2003). L’ambito territoriale analizzato comprende l’area della provincia di Ferrara considerata sia globalmente, sia nelle tre ripartizioni: Ferrara Capoluogo, Lidi di Comacchio e Altri Comuni. Inoltre, sono state analizzate le altre province dell’Emilia Romagna e la provincia di Mantova. Per quanto concerne le fonti, i dati relativi alla provincia di Ferrara provengono dall’Ufficio di Statistica dell’Amministrazione Provinciale di Ferrara. Quelli relativi all’Emilia Romagna e alla provincia di Mantova provengono rispettivamente dagli Uffici di Statistica dell’Amministrazione Regionale dell’Emilia Romagna e dell’Amministrazione Provinciale di Mantova
On synthesis methods for multivariate ordinal data
No full textA review of the main rilevant proposals in the statistical literature about synthesis methods for Multivariate Ordinal Data, focusing in particular on a new nonparametric method proposed by the author
A robust approach for treatment ranking within the multivariate one way ANOVA layout.
No full textA robust approach to rank the treatments in a comparative study is proposed. The starting point is the Analysis of Variance test and the multiple pairwise comparisons among the treatments
Statistical Approaches for Improving the Product / Service Quality with Applications to the University System Evaluation
No full textIl libro illistra una serie di metodologie statistiche di natura non parametrica utili a produrre valutazioni comparative di diversi prodotti/servizi. Le metodologie descritte vengono poi applicate a casi reali inerenti la valutazione del sistema universitario
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