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Chapman & Hall/CRC Monographs on Statistics and Applied Probability


About the Series

Since its inception in 1960 under the leadership of Sir David R. Cox, the series has established itself as a leading outlet for monographs presenting advances in statistical and applied probability research. With over 150 books published - over 100 still in print - the series has gained a reputation for outstanding quality.

The scope of the series is wide, incorporating developments in statistical methodology of relevance to a range of application areas. The monographs in the series present succinct and authoritative overviews of methodology, often with an emphasis on application through worked examples and software for their implementation. They are written so as to be accessible to graduate students, researchers and practitioners of statistics, as well as quantitative scientists from the many relevant areas of application.

Please contact us if you have an idea for a book for the series.

109 Series Titles

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Statistical Learning with Sparsity The Lasso and Generalizations

Statistical Learning with Sparsity: The Lasso and Generalizations

1st Edition

By Trevor Hastie, Robert Tibshirani, Martin Wainwright
May 07, 2015

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents ...

Bayesian Inference for Partially Identified Models Exploring the Limits of Limited Data

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data

1st Edition

By Paul Gustafson
April 01, 2015

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years ...

Pareto Distributions

Pareto Distributions

2nd Edition

By Barry C. Arnold
March 10, 2015

Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions. This edition ...

Design and Analysis of Cross-Over Trials

Design and Analysis of Cross-Over Trials

3rd Edition

By Byron Jones, Michael G. Kenward
October 08, 2014

Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary ...

Hierarchical Modeling and Analysis for Spatial Data

Hierarchical Modeling and Analysis for Spatial Data

2nd Edition

By Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand
September 12, 2014

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling ...

Robust Cluster Analysis and Variable Selection

Robust Cluster Analysis and Variable Selection

1st Edition

By Gunter Ritter
September 02, 2014

Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications ...

Sequential Analysis Hypothesis Testing and Changepoint Detection

Sequential Analysis: Hypothesis Testing and Changepoint Detection

1st Edition

By Alexander Tartakovsky, Igor Nikiforov, Michele Basseville
August 27, 2014

Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent ...

Data Analysis and Approximate Models Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis

Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis

1st Edition

By Patrick Laurie Davies
July 07, 2014

The First Detailed Account of Statistical Analysis That Treats Models as Approximations The idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist ...

Dependence Modeling with Copulas

Dependence Modeling with Copulas

1st Edition

By Harry Joe
June 26, 2014

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine ...

Quasi-Least Squares Regression

Quasi-Least Squares Regression

1st Edition

By Justine Shults, Joseph M. Hilbe
January 28, 2014

Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized ...

Constrained Principal Component Analysis and Related Techniques

Constrained Principal Component Analysis and Related Techniques

1st Edition

By Yoshio Takane
October 24, 2013

In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial ...

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

3rd Edition

By Peter J. Diggle
July 23, 2013

Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical ...

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