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.
Statistical Inference Based on the likelihood
1st Edition
By Adelchi Azzalini
January 21, 2023
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical ...
Replication and Evidence Factors in Observational Studies
1st Edition
By Paul Rosenbaum
September 26, 2022
Outside of randomized experiments, association does not imply causation, and yet there is nothing defective about our knowledge that smoking causes lung cancer, a conclusion reached in the absence of randomized experimentation with humans. How is that possible? If observed associations do not ...
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 ...
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition
2nd Edition
By Walter Zucchini, Iain L. MacDonald, Roland Langrock
September 30, 2021
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model ...
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 ...
Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems
1st Edition
By Jiming Jiang
June 30, 2021
Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are extensively used in practice....
Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition
2nd Edition
By Youngjo Lee, John A. Nelder, Yudi Pawitan
June 30, 2021
This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical ...
Measuring Statistical Evidence Using Relative Belief
1st Edition
By Michael Evans
June 30, 2021
A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical ...
Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
1st Edition
By Alexander Tartakovsky
June 30, 2021
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 (...
Inferential Models: Reasoning with Uncertainty
1st Edition
By Ryan Martin, Chuanhai Liu
December 18, 2020
A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors’ recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior ...
Large Covariance and Autocovariance Matrices
1st Edition
By Arup Bose, Monika Bhattacharjee
December 18, 2020
Large Covariance and Autocovariance Matrices brings together a collection of recent results on sample covariance and autocovariance matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models. The prerequisites ...
Pareto Distributions
2nd Edition
By Barry C. Arnold
December 18, 2020
Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions. This edition ...