Chapman & Hall/CRC Monographs on Statistics and Applied Probability
About the Book 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.
Mean Field Simulation for Monte Carlo Integration
1st Edition
By 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 ...
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 ...
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 ...
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
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
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, ...
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 ...
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...
Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis
1st Edition
By Michael J. Daniels, Joseph W. Hogan
March 11, 2008
Drawing from the authors’ own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To ...
Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
2nd Edition
By Raymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu
June 21, 2006
It’s been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, ...
Stereology for Statisticians
1st Edition
By Adrian Baddeley, Eva B. Vedel Jensen
November 29, 2004
Setting out the principles of stereology from a statistical viewpoint, this book focuses on both basic theory and practical implications. The authors discuss ways to effectively communicate statistical issues to clients, draw attention to common methodological errors, and provide references to ...
Diagnostic Checks in Time Series
1st Edition
By Wai Keung Li
December 29, 2003
Diagnostic checking is an important step in the modeling process. But while the literature on diagnostic checks is quite extensive and many texts on time series modeling are available, it still remains difficult to find a book that adequately covers methods for performing diagnostic ...