Advances in Latent Variables: Methods, Models and Applications

✍ Scribed by Maurizio Carpita, Eugenio Brentari, El Mostafa Qannari (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 284
• Series: Studies in Theoretical and Applied Statistics
• Edition: 1
• Category: Library

✦ Synopsis

The book, belonging to the series “Studies in Theoretical and Applied Statistics– Selected Papers from the Statistical Societies”, presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications", held at the Department of Economics and Management of the University of Brescia from June 19 to 21, 2013.

The focus of the book is on advances in statistical methods for analyses with latent variables. In fact, in recent years, there has been increasing interest in this broad research area from both a theoretical and an applied point of view, as the statistical latent variable approach allows the effective modeling of complex real-life phenomena in a wide range of research fields.

A major goal of the volume is to bring together articles written by statisticians from different research fields, which present different approaches and experiences related to the analysis of unobservable variables and the study of the relationships between them.

✦ Table of Contents

Front Matter....Pages i-ix
Identification of Clusters of Variables and Underlying Latent Components in Sensory Analysis....Pages 1-12
Clustering the Corpus of Seneca: A Lexical-Based Approach....Pages 13-25
Modelling Correlated Consumer Preferences....Pages 27-36
Modelling Job Satisfaction of Italian Graduates....Pages 37-48
Identification of Principal Causal Effects Using Secondary Outcomes....Pages 49-59
Dynamic Segmentation of Financial Markets: A Mixture Latent Class Markov Approach....Pages 61-72
Latent Class Markov Models for Measuring Longitudinal Fuzzy Poverty....Pages 73-81
A Latent Class Approach for Allocation of Employees to Local Units....Pages 83-91
Finding Scientific Topics Revisited....Pages 93-100
A Dirichlet Mixture Model for Compositions Allowing for Dependence on the Size....Pages 101-111
A Latent Variable Approach to Modelling Multivariate Geostatistical Skew-Normal Data....Pages 113-126
Modelling the Length of Stay of Geriatric Patients in Emilia Romagna Hospitals Using Coxian Phase-Type Distributions with Covariates....Pages 127-139
Pathway Composite Variables: A Useful Tool for the Interpretation of Biological Pathways in the Analysis of Gene Expression Data....Pages 141-150
A Latent Growth Curve Analysis in Banking Customer Satisfaction....Pages 151-158
Non-Metric PLS Path Modeling: Integration into the Labour Market of Sapienza Graduates....Pages 159-170
Single-Indicator SEM with Measurement Error: Case of Klein I Model....Pages 171-183
Investigating Stock Market Behavior Using a Multivariate Markov-Switching Approach....Pages 185-196
A Multivariate Stochastic Volatility Model for Portfolio Risk Estimation....Pages 197-206
A Thick Modeling Approach to Multivariate Volatility Prediction....Pages 207-217
Exploring Compositional Data with the Robust Compositional Biplot....Pages 219-226
Sparse Orthogonal Factor Analysis....Pages 227-239
Adjustment to the Aggregate Association Index to Minimise the Impact of Large Samples....Pages 241-251
Graphical Latent Structure Testing....Pages 253-262
Understanding Equity in Work Through Job Quality: A Comparative Analysis Between Disabled and Non-Disabled Graduates Using a New Composite Indicator....Pages 263-275
Business Failure Prediction in Manufacturing: A Robust Bayesian Approach to Discriminant Scoring....Pages 277-285

✦ Subjects

Statistics, general; Statistical Theory and Methods; Statistics for Business/Economics/Mathematical Finance/Insurance; Statistics for Life Sciences, Medicine, Health Sciences