Statistical Theory & Methods

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Correspondence Analysis in Practice

3rd Edition

Michael Greenacre
December 20, 2016

Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA...

Applied Time Series Analysis with R

2nd Edition

Wayne A. Woodward, Henry L. Gray, Alan C. Elliott
December 20, 2016

Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series...

Multi-State Survival Models for Interval-Censored Data

1st Edition

Ardo van den Hout
December 02, 2016

Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics. One of the applications in the book...

Multivariate Survival Analysis and Competing Risks

1st Edition

Martin J. Crowder
November 16, 2016

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions...

Music Data Analysis: Foundations and Applications

1st Edition

Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph
November 07, 2016

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects...

Mean Field Simulation for Monte Carlo Integration

1st Edition

Pierre Del Moral
October 26, 2016

In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to...

Multivariate Statistical Methods: A Primer, Fourth Edition

4th Edition

Bryan F.J. Manly, Jorge A. Navarro Alberto
October 11, 2016

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the...

Modeling and Analysis of Stochastic Systems

3rd Edition

Vidyadhar G. Kulkarni
October 07, 2016

Building on the author’s more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the most important classes of stochastic processes used in the modeling of diverse systems. For each class of stochastic process, the text includes its definition,...

Pragmatics of Uncertainty

1st Edition

Joseph B. Kadane
September 27, 2016

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working....

Joint Modeling of Longitudinal and Time-to-Event Data

1st Edition

Robert Elashoff, Gang li, Ning Li
August 24, 2016

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival...

Mixture Model-Based Classification

1st Edition

Paul D. McNicholas
August 19, 2016

"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails...

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition

2nd Edition

Walter Zucchini, Iain L. MacDonald, Roland Langrock
June 07, 2016

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model...