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BOOK SERIES


Chapman & Hall/CRC Handbooks of Modern Statistical Methods


About the Series

The objective of the series is to provide high-quality volumes covering the state-of-the-art in the theory and applications of statistical methodology. The books in the series are thoroughly-edited and present comprehensive, coherent and unified summaries of specific methodological topics from statistics. The chapters are written by the leading researchers in the field, and present a good balance of theory and application through a synthesis of the key methodological developments and examples and case studies using real data.

The scope of the series is wide, covering topics of statistical methodology that are well developed and find application in a range of scientific disciplines. The volumes are primarily of interest to researchers and graduate students from statistics and biostatistics, but also appeal to scientists from fields where the methodology is applied to real problems, including medical research, epidemiology and public health, engineering, biological science, environmental science and the social sciences.

Please contact us if you have an idea for a book for the series.

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Handbook of Bayesian Variable Selection

Handbook of Bayesian Variable Selection

1st Edition

Forthcoming

Edited By Mahlet Tadesse, Marina Vannucci
December 20, 2021

Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the ...

Handbook of Multiple Comparisons

Handbook of Multiple Comparisons

1st Edition

Forthcoming

Edited By Xinping Cui, Thorsten Dickhaus, Ying Ding, Jason C. Hsu
November 16, 2021

Written by experts that include originators of some key ideas, chapters in the Handbook of Multiple Testing cover multiple comparison problems big and small, with guidance toward error rate control and insights on how principles developed earlier can be applied to current and emerging problems. ...

Handbook of Measurement Error Models

Handbook of Measurement Error Models

1st Edition

Forthcoming

Edited By Grace Y. Yi, Aurore Delaigle, Paul Gustafson
September 28, 2021

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and ...

Handbook of Statistical Methods for Randomized Controlled Trials

Handbook of Statistical Methods for Randomized Controlled Trials

1st Edition

Forthcoming

Edited By KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson
August 23, 2021

Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite ...

Handbook of Forensic Statistics

Handbook of Forensic Statistics

1st Edition

Edited By David L. Banks, Karen Kafadar, David H. Kaye, Maria Tackett
November 06, 2020

Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics. Written for statisticians, scientists, and legal professionals having a broad range of statistical expertise, it summarizes and compares basic methods of statistical inference (frequentist, ...

Handbook of Meta-Analysis

Handbook of Meta-Analysis

1st Edition

Edited By Christopher H. Schmid, Theo Stijnen, Ian White
September 08, 2020

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, ...

Handbook of Infectious Disease Data Analysis

Handbook of Infectious Disease Data Analysis

1st Edition

Edited By Leonhard Held, Niel Hens, Philip D O'Neill, Jacco Wallinga
October 25, 2019

Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The Handbook of Infectious Disease Data Analysis ...

Handbook of Statistical Methods and Analyses in Sports

Handbook of Statistical Methods and Analyses in Sports

1st Edition

Edited By Jim Albert, Mark E. Glickman, Tim B. Swartz, Ruud H. Koning
September 11, 2019

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) ...

Handbook of Environmental and Ecological Statistics

Handbook of Environmental and Ecological Statistics

1st Edition

Edited By Alan E. Gelfand, Montserrat Fuentes, Jennifer A. Hoeting, Richard Lyttleton Smith
February 11, 2019

This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in ...

Handbook of Mixture Analysis

Handbook of Mixture Analysis

1st Edition

Edited By Sylvia Fruhwirth-Schnatter, Gilles Celeux, Christian P. Robert
January 07, 2019

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and ...

Handbook of Graphical Models

Handbook of Graphical Models

1st Edition

Edited By Marloes Maathuis, Mathias Drton, Steffen Lauritzen, Martin Wainwright
November 27, 2018

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed ...

Handbook of Approximate Bayesian Computation

Handbook of Approximate Bayesian Computation

1st Edition

Edited By Scott A. Sisson, Yanan Fan, Mark Beaumont
August 10, 2018

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of ...

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