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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.

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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 ...

Analysis of Variance for Functional Data

Analysis of Variance for Functional Data

1st Edition

By Jin-Ting Zhang
June 18, 2013

Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of ...

Statistical Methods for Stochastic Differential Equations

Statistical Methods for Stochastic Differential Equations

1st Edition

By Mathieu Kessler, Alexander Lindner, Michael Sorensen
May 17, 2012

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to both new students and seasoned researchers, each ...

Maximum Likelihood Estimation for Sample Surveys

Maximum Likelihood Estimation for Sample Surveys

1st Edition

By Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh
May 02, 2012

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and ...

Extreme Value Methods with Applications to Finance

Extreme Value Methods with Applications to Finance

1st Edition

By Serguei Y. Novak
December 20, 2011

Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers—in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality, ...

Dynamic Prediction in Clinical Survival Analysis

Dynamic Prediction in Clinical Survival Analysis

1st Edition

By Hans van Houwelingen, Hein Putter
November 09, 2011

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to ...

Smoothing Splines Methods and Applications

Smoothing Splines: Methods and Applications

1st Edition

By Yuedong Wang
June 22, 2011

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline ...

Statistical Inference The Minimum Distance Approach

Statistical Inference: The Minimum Distance Approach

1st Edition

By Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park
June 22, 2011

In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is ...

Robust Nonparametric Statistical Methods

Robust Nonparametric Statistical Methods

2nd Edition

By Thomas P. Hettmansperger, Joseph W. McKean
December 20, 2010

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the ...

Circular and Linear Regression Fitting Circles and Lines by Least Squares

Circular and Linear Regression: Fitting Circles and Lines by Least Squares

1st Edition

By Nikolai Chernov
June 22, 2010

Find the right algorithm for your image processing application Exploring the recent achievements that have occurred since the mid-1990s, Circular and Linear Regression: Fitting Circles and Lines by Least Squares explains how to use modern algorithms to fit geometric contours (circles and circular ...

Expansions and Asymptotics for Statistics

Expansions and Asymptotics for Statistics

1st Edition

By Christopher G. Small
May 07, 2010

Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover, the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a broad toolkit of analytical methods, Expansions...

ROC Curves for Continuous Data

ROC Curves for Continuous Data

1st Edition

By Wojtek J. Krzanowski, David J. Hand
May 21, 2009

Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. ROC Curves for Continuous Data is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear ...

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