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.
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, ...
Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability 66
1st Edition
By Jianqing Fan, Irene Gijbels
March 01, 1996
Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The...
Nonlinear Models for Repeated Measurement Data
1st Edition
By Marie Davidian, David .M. Giltinan
June 01, 1995
Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified ...
Distribution-Free Statistical Methods, Second Edition
2nd Edition
By J.S. Maritz
April 01, 1995
Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research.This new edition is aimed at senior undergraduate and graduate level. It ...
Kernel Smoothing
1st Edition
By M.P. Wand, M.C. Jones
December 01, 1994
Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets.The basic principle is that local averaging or smoothing is performed with respect to a kernel function. This book provides uninitiated readers with a feeling for the principles, applications, and ...