New Perspectives in Statistical Modeling and Data Analysis

1. Front Matter

   Pages i-xxii

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2. Data Modeling for Evaluation

   1. Front Matter

      Pages 1-1

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3. Data Modeling for Evaluation

   1. Evaluating the Effects of Subsidies to Firms with Nonignorably Missing Outcomes

      • Fabrizia Mealli, Barbara Pacini, Giulia Roli

      Pages 3-11

   2. Evaluating Lecturer’s Capability Over Time. Some Evidence from Surveys on University Course Quality

      • Isabella Sulis, Mariano Porcu, Nicola Tedesco

      Pages 13-20

   3. Evaluating the External Effectiveness of the University Education in Italy

      • Matilde Bini

      Pages 21-28

   4. Analyzing Research Potential through Redundancy Analysis: the case of the Italian University System

      • Cristina Davino, Francesco Palumbo, Domenico Vistocco

      Pages 29-37

   5. A Participative Process for the Definition of a Human Capital Indicator

      • Luigi Fabbris, Giovanna Boccuzzo, Maria Cristiana Martini, Manuela Scioni

      Pages 39-47

   6. Using Poset Theory to Compare Fuzzy Multidimensional Material Deprivation Across Regions

      • Marco Fattore, Rainer Brüggemann, Jan Owsiński

      Pages 49-56

   7. Some Notes on the Applicability of Cluster-Weighted Modeling in Effectiveness Studies

      • Simona C. Minotti

      Pages 57-64

   8. Impact Evaluation of Job Training Programs by a Latent Variable Model

      • Francesco Bartolucci, Fulvia Pennoni

      Pages 65-73

4. Data Analysis in Economics

   1. Front Matter

      Pages 75-75

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5. Data Analysis in Economics

   1. Analysis of Collaborative Patterns in Innovative Networks

      • Alfredo Del Monte, Maria Rosaria D’Esposito, Giuseppe Giordano, Maria Prosperina Vitale

      Pages 77-84

   2. The Measure of Economic Re-Evaluation: a Coefficient Based on Conjoint Analysis

      • Paolo Mariani, Mauro Mussini, Emma Zavarrone

      Pages 85-92

   3. Do Governments Effectively Stabilize Fuel Prices by Reducing Specific Taxes? Evidence from Italy

      • Marina Di Giacomo, Massimiliano Piacenza, Gilberto Turati

      Pages 93-100

   4. An Analysis of Industry Sector Via Model Based Clustering

      • Carmen Cutugno

      Pages 101-108

   5. Impact of Exogenous Shocks on Oil Product Market Prices

      • Antonio Angelo Romano, Giuseppe Scandurra

      Pages 109-116

6. Nonparametric Kernel Estimation

   1. Front Matter

      Pages 117-117

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7. Nonparametric kernel estimation

   1. Probabilistic Forecast for Northern New Zealand Seismic Process Based on a Forward Predictive Kernel Estimator

      • Giada Adelfio, Marcello Chiodi

      Pages 119-126

   2. Discrete Beta Kernel Graduation of Age-Specific Demographic Indicators

      • Angelo Mazza, Antonio Punzo

      Pages 127-134

   3. Kernel-Type Smoothing Methods of Adjusting for Unit Nonresponse in Presence of Multiple and Different Type Covariates

      • Emilia Rocco

      Pages 135-142

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.

• Classification
• Data Analysis
• Data Mining
• Multivariate Statistics
• Statistical Modeling

From the reviews:

“This volume contains contributions from the seventh biannual meeting of the Classification and Data Analysis Group of the Italian Statistical Society, organised by the Faculty of Economics at the University of Catania in September 2009. … Most of the contributions provide a clear overview of current areas of active research in statistics. As such, they can help the reader to have an idea about the current state-of-art in different topics. The volume can be used primarily as reference material.” (Fabrizio Durante, International Statistical Review, Vol. 81 (3), 2014)

• Fac. Economia, Università di Catania, Catania, Italy

  Salvatore Ingrassia

• Dipto. SEFEMEQ, Università di Roma - Tor Vergata, Roma, Italy

  Roberto Rocci

• Dipto. Statistica, Probabilità e, Statistiche Applicate, Università di Roma, La Sapienza, Roma, Italy

  Maurizio Vichi

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