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Chapman & Hall/CRC Monographs on Statistics and Applied Probability


About the 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.

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Mixed Models

Mixed Models

1st Edition

Forthcoming

Geert Verbeke, Geert Molenberghs
January 01, 2021

Research on mixed models has been extensive over the most recent decade. This book differs from the authors' previous monographs on longitudinal data in that it focuses on mixed models of a linear, generalized linear and nonlinear type. The book pays attention to recent developments that include...

Martingale Methods in Statistics

Martingale Methods in Statistics

1st Edition

Forthcoming

Yoichi Nishiyama
January 01, 2021

This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales and develops entropy methods in order to treat dependent data in the framework of martingales. The author starts a summary of the martingale theory, and then proceeds to give full...

Propensity Score Modeling and Adjustment Procedures

Propensity Score Modeling and Adjustment Procedures

1st Edition

Forthcoming

David Stephens
January 01, 2021

This book provides a good balance of propensity score modeling theory (particularly semiparametric methods) and applications through worked examples and software, including R and Stata code. Key topics covered include longitudinal data, survival data, survey sampling, model selection, and Bayesian...

Count Time Series: A Generalized Linear Models Approach

Count Time Series: A Generalized Linear Models Approach

1st Edition

Forthcoming

Konstantinos Fokianos
January 01, 2021

Likelihood and its Extensions

Likelihood and its Extensions

1st Edition

Forthcoming

Nancy Reid, Cristiano Varin, Grace Y. Yi
January 01, 2021

Significant new challenges to the use of likelihood-based methods for inference have helped to generate considerable interest in alternative inference methods that are not based on a full likelihood specification. This book provides a comprehensive survey of likelihood methods in statistics, with...

Introduction to Time Series Modeling with Applications in R

Introduction to Time Series Modeling with Applications in R

2nd Edition

Forthcoming

Genshiro Kitagawa
August 11, 2020

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...

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine

1st Edition

Anastasios A. Tsiatis, Marie Davidian, Shannon T. Holloway, Eric B. Laber
December 10, 2019

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics, data science, and related quantitative...

Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules

Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules

1st Edition

Alexander Tartakovsky
December 02, 2019

How can major corporations and governments more quickly and accurately detect and address cyberattacks on their networks? How can local authorities improve early detection and prevention of epidemics? How can researchers improve the identification and classification of space objects in difficult (...

Nonlinear Time Series: Semiparametric and Nonparametric Methods

Nonlinear Time Series: Semiparametric and Nonparametric Methods

1st Edition

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

Multivariate Dependencies: Models, Analysis and Interpretation

1st Edition

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

Classification

2nd Edition

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...

Subjective Probability Models for Lifetimes

Subjective Probability Models for Lifetimes

1st Edition

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...

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