Full Product Details
Author: Francesco Bartolucci ,
Alessio Farcomeni ,
Fulvia Pennoni
Publisher: Taylor & Francis Ltd
Imprint: Chapman & Hall/CRC
Weight: 0.453kg
ISBN: 9781032477541
ISBN 10: 1032477547
Pages: 254
Publication Date: 21 January 2023
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.
Reviews
I enjoyed reading this book very much: the writing style is clear and concise, and the mathematical presentation is easy to follow. Notations are well thought out and the technical derivations are thorough. The book is a valuable resource on latent Markov models to students, researchers, and practitioners. -Alexander R. De Leon, Technometrics, February 2015 ... a useful contribution to the literature. ... The exposition is easy to follow for anyone who has encountered random effects models for longitudinal data. ... The overall structure is well thought out. ... The authors clearly have considerable practical experience in the application of this technique, and they have made important contributions to its literature. -Geoff Jones, Australian & New Zealand Journal of Statistics, 56, 2014 The book gives an excellent introduction as well as coverage of theoretical basics of latent Markov model analysis and their practical applications. ... I enjoyed reading the book, its clarity of exposition, its fairly compact format, and carefully worked out examples that did a good job in illustrating the background theory. -Seppo Pynnoenen, International Statistical Review, 2014
Author Information
Francesco Bartolucci is a professor of statistics in the Department of Economics, Finance and Statistics at the University of Perugia, where he also coordinates the Ph.D. program in mathematical and statistical methods for the economic and social sciences. His main research interests include latent variable models for cross-sectional and longitudinal categorical data, with applications ranging from educational and psychometric contexts to the analysis of labor market data. Alessio Farcomeni is a researcher at the University of Rome ""La Sapienza"". His interests range from analysis of panel data and categorical time series to multiple testing, multivariate analysis and clustering, and model selection. Fulvia Pennoni is an assistant professor of statistics in the Department of Statistics at the University of Milano-Bicocca. Her main expertise encompasses latent variable modeling. She is currently carrying out research in methods and statistics with intensive statistical programming applications.
