Finite Mixture and Markov Switching Models - Springer Series in Statistics (Paperback)
  • Finite Mixture and Markov Switching Models - Springer Series in Statistics (Paperback)

Finite Mixture and Markov Switching Models - Springer Series in Statistics (Paperback)

Paperback 494 Pages / Published: 19/11/2010
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket

The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781441921949
Number of pages: 494
Weight: 767 g
Dimensions: 229 x 152 x 36 mm
Edition: Softcover reprint of hardcover 1st ed. 2006


From the reviews:

"At first glance, the numerous equations and formulas may seem to be daunting for psychologists with limited statistical background; however, the descriptions and explanations of the various models are actually quite reader friendly (more so than many advanced statistical textbooks). The author has done an excellent job of inviting newcomers to enter the world of mixture models, more impressively, the author did so without sacrificing mathematical and statistical rigor. Mixture models are appealing in many applications in social and psychological studies. This book not only offers a gentle introduction to mixture models but also provides more in depth coverage for those who look beyond the surface. I believe that psychologists who are interested in related models (e.g., latent class models, latent Markov models, and latent class regression models) will benefit greatly from this book. I highly recommend this book to all psychologists who are interested in mixture models." (Hsiu-Ting Yu, PSYCHOMETRIKA-VOL. 74, NO. 3, 559-560 SEPTEMBER 2009)

"The book is impressive in its mathematical and formal correctness, in generality and in would be helfpful as an additional reference among a wider range of available textbooks in the area. [I]t will find many friends among experts and newcomers to the world of mixture models." (Atanu Biswas, Biometrics, Issue 63, September 2007)

"Finite mixture distributions are important for many models. Therefore they constitute a very active field of research. This book gives an up to date overview over the various models of this kind. ... The aim of this book is to impart the finite mixture and Markov switching approach to statistical modeling to a wide-ranging community. ... For the frequentists, it offers a good opportunity to explore the advantages of the Bayesian approach in the context of mixing models." (Gheorghe Pitis, Zentralblatt MATH, Vol. 1108 (10), 2007)

"Readership: Statisticians, biologists, economists, engineers, financial agents, market researchers, medical researchers or any other frequent user of statistical models. The first nine chapters of the book are concerned with static mixture models, and the last four with Markov switching models. ... especially valuable for students, serving to demonstrate how different statistical techniques, which superficially appear to be unrelated, are in fact part of an integrated whole. This book struck me as being particularly clearly written - it is a pleasure to read." (David J. Hand, International Statistical Review, Vol. 75 (2), 2007)

"The book is excellent, giving a most readable overview of the topic of finite mixtures, aimed at a broad readership ... . Students will like the text because of the pedagogical writing style; researchers will definitely welcome the broad treatment of the subject. Both will benefit from the extensive and up-to-date bibliography ... as well as the well-organized index. No doubt, this book is a valuable addition to the field of statistics and will surely find its rightful place in many a statistician's library." (Valerie Chavez-Demoulin, Journal of the American Statistical Association, Vol. 104 (485), March, 2009)

You may also be interested in...

New Cambridge Statistical Tables
Added to basket
Probability: A Very Short Introduction
Added to basket
How to Use Statistics
Added to basket
The Improbability Principle
Added to basket
Psychology Statistics For Dummies
Added to basket
An Introduction to Statistical Learning
Added to basket
Probability and Random Processes
Added to basket
Quantitative Methods
Added to basket
Added to basket
How to Lie with Statistics
Added to basket
Statistics Essentials for Dummies
Added to basket
Added to basket
Numerical Ecology with R
Added to basket
A Dictionary of Statistics 3e
Added to basket


Please sign in to write a review

Your review has been submitted successfully.