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.
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 ...
Statistical Inference and Simulation for Spatial Point Processes
1st Edition
By Jesper Moller, Rasmus Plenge Waagepetersen
September 25, 2003
Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods...
Extreme Values in Finance, Telecommunications, and the Environment
1st Edition
Edited
By Barbel Finkenstadt, Holger Rootzen
July 28, 2003
Because of its potential to ...predict the unpredictable,... extreme value theory (EVT) and methodology is currently receiving a great deal of attention from statistical and mathematical researchers. This book brings together world-recognized authorities in their respective fields to provide ...
Statistics in the 21st Century
1st Edition
Edited
By Adrian E. Raftery, Martin A. Tanner, Martin T. Wells
July 09, 2001
This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics....
Empirical Likelihood
1st Edition
By Art B. Owen
May 18, 2001
Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it...
Analysis of Time Series Structure: SSA and Related Techniques
1st Edition
By Nina Golyandina, Vladimir Nekrutkin, Anatoly A Zhigljavsky
January 23, 2001
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already become a standard tool in climatic and meteorological time series analysis and well known in nonlinear physics and signal processing. However, despite the promise it holds for time series ...
Algebraic Statistics: Computational Commutative Algebra in Statistics
1st Edition
By Giovanni Pistone, Eva Riccomagno, Henry P. Wynn
December 21, 2000
Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to Gröbner bases and a thorough description of their applications to experimental design...