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.
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...
The Theory of the Design of Experiments
1st Edition
By D.R. Cox, Nancy Reid
June 06, 2000
Why study the theory of experiment design? Although it can be useful to know about special designs for specific purposes, experience suggests that a particular design can rarely be used directly. It needs adaptation to accommodate the circumstances of the experiment. Successful designs depend upon ...
Set-Indexed Martingales
1st Edition
By B.G. Ivanoff, Ely Merzbach
October 27, 1999
Set-Indexed Martingales offers a unique, comprehensive development of a general theory of Martingales indexed by a family of sets. The authors establish-for the first time-an appropriate framework that provides a suitable structure for a theory of Martingales with enough generality to include many ...
Stochastic Geometry: Likelihood and Computation
1st Edition
Edited
By Wilfrid S. Kendall, M.N.M. van Lieshout
October 20, 1998
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have ...
Bayesian Methods for Finite Population Sampling
1st Edition
By Malay Ghosh, Glen Meeden
June 01, 1997
Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels ...
Mixed Poisson Processes
1st Edition
By J Grandell
May 01, 1997
To date, Mixed Poisson processes have been studied by scientists primarily interested in either insurance mathematics or point processes. Work in one area has often been carried out without knowledge of the other area. Mixed Poisson Processes is the first book to combine and concentrate on these ...
Multivariate Models and Multivariate Dependence Concepts
1st Edition
By Harry Joe
May 01, 1997
This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions for modeling of binary, count, ordinal, and extreme value response data. It is virtually self-contained, and includes many exercises and unsolved problems....
Retrial Queues
1st Edition
By G Falin, James G C Templeton
April 01, 1997
Based on the careful analysis of several hundred publications, this book uniformly describes basic methods of analysis and critical results of the theory of retrial queues.Chapters discuss:analysis of single-server retrial queues, including stationary and transient distribution of the number in the...
Analyzing and Modeling Rank Data
1st Edition
By John I Marden
August 01, 1996
This book is the first single source volume to fully address this prevalent practice in both its analytical and modeling aspects. The information discussed presents the use of data consisting of rankings in such diverse fields as psychology, animal science, educational testing, sociology, ...