Chapman & Hall/CRC Handbooks of Modern Statistical Methods
About the Book 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.
Handbook of Meta-Analysis
1st Edition
Edited
By Christopher H. Schmid, Theo Stijnen, Ian White
March 27, 2022
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
1st Edition
Edited
By Leonhard Held, Niel Hens, Philip O'Neill, Jacco Wallinga
June 30, 2021
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 Mixed Membership Models and Their Applications
1st Edition
Edited
By Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg
March 31, 2021
In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling ...
Handbook of Approximate Bayesian Computation
1st Edition
Edited
By Scott A. Sisson, Yanan Fan, Mark Beaumont
December 18, 2020
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 ...
Handbook of Environmental and Ecological Statistics
1st Edition
Edited
By Alan E. Gelfand, Montserrat Fuentes, Jennifer A. Hoeting, Richard Lyttleton Smith
December 18, 2020
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 Graphical Models
1st Edition
Edited
By Marloes Maathuis, Mathias Drton, Steffen Lauritzen, Martin Wainwright
December 18, 2020
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 graphical ...
Handbook of Missing Data Methodology
1st Edition
Edited
By Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke
December 18, 2020
Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data ...
Handbook of Mixture Analysis
1st Edition
Edited
By Sylvia Fruhwirth-Schnatter, Gilles Celeux, Christian P. Robert
December 18, 2020
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 Quantile Regression
1st Edition
Edited
By Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng
September 30, 2020
Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that ...
Handbook of Cluster Analysis
1st Edition
Edited
By Christian Hennig, Marina Meila, Fionn Murtagh, Roberto Rocci
June 30, 2020
Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and ...
Handbook of Design and Analysis of Experiments
1st Edition
Edited
By Angela Dean, Max Morris, John Stufken, Derek Bingham
June 30, 2020
Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments.This carefully edited collection of 25 ...
Handbook of Discrete-Valued Time Series
1st Edition
Edited
By Richard A. Davis, Scott H. Holan, Robert Lund, Nalini Ravishanker
June 30, 2020
Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the book focuses on time ...