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.
Introduction to Time Series Modeling with Applications in R
2nd Edition
By Genshiro Kitagawa
August 01, 2022
Praise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. –Statistics in ...
Introduction to High-Dimensional Statistics
2nd Edition
By Christophe Giraud
August 31, 2021
Praise for the first edition: "[This book] succeeds singularly at providing a structured introduction to this active field of research. … it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of ...
Nonlinear Time Series: Semiparametric and Nonparametric Methods
1st Edition
By Jiti Gao
October 18, 2019
Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve ...
Multivariate Dependencies: Models, Analysis and Interpretation
1st Edition
By D.R. Cox, Nanny Wermuth
October 17, 2019
Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis ...
Classification
2nd Edition
By A.D. Gordon
October 07, 2019
As the amount of information recorded and stored electronically grows ever larger, it becomes increasingly useful, if not essential, to develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification does just ...
Accelerated Life Models: Modeling and Statistical Analysis
1st Edition
By Vilijandas Bagdonavicius, Mikhail Nikulin
September 05, 2019
The authors of this monograph have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph fully details those models and explores areas of accelerated life testing usually only touched upon...
Components of Variance
1st Edition
By D.R. Cox, P.J. Solomon
September 05, 2019
Identifying the sources and measuring the impact of haphazard variations are important in any number of research applications, from clinical trials and genetics to industrial design and psychometric testing. Only in very simple situations can such variations be represented effectively by ...
Subjective Probability Models for Lifetimes
1st Edition
By Fabio Spizzichino
September 05, 2019
Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability. Switching from the frequentist to the subjective approach requires that some fundamental concepts be...
Subset Selection in Regression
2nd Edition
By Alan Miller
September 05, 2019
Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition...
Probabilistic Foundations of Statistical Network Analysis
1st Edition
By Harry Crane
April 19, 2018
Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic ...
Antedependence Models for Longitudinal Data
1st Edition
By Dale L. Zimmerman, Vicente A. Núñez-Antón
June 14, 2017
The First Book Dedicated to This Class of Longitudinal Models Although antedependence models are particularly useful for modeling longitudinal data that exhibit serial correlation, few books adequately cover these models. By gathering results scattered throughout the literature, Antedependence ...
Simultaneous Inference in Regression
1st Edition
By Wei Liu
June 13, 2017
Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of ...