With the two most recent ones, in this CRC series, published in January 2019.

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.

*Note from me: These books might be much less expensive if you do not purchase directly from the publisher. I suggest that you also check the price on Amazon and elsewhere. I received the announcement about these books, in my mailbox. In the email dated February 6, they included a code (STM19) to get a 15% discount.*

### Handbook of Environmental and Ecological Statistics

#### 1st Edition

**Alan E. Gelfand, Montserrat Fuentes, Jennifer A. Hoeting, Richard Lyttleton Smith**

January 14, 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

#### 1st Edition

**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

#### 1st Edition

**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

#### 1st Edition

**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…

### Handbook of Statistical Methods for Case-Control Studies

#### 1st Edition

**Ørnulf Borgan, Norman Breslow, Nilanjan Chatterjee, Mitchell H. Gail, Alastair Scott, Chris J. Wild**

July 02, 2018

Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and…

### Handbook of Quantile Regression

#### 1st Edition

**Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng**

October 25, 2017

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 Methods for Designing, Monitoring, and Analyzing Dose-F…

#### 1st Edition

**John O’Quigley, Alexia Iasonos, Björn Bornkamp**

April 25, 2017

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials gives a thorough presentation of state-of-the-art methods for early phase clinical trials. The methodology of clinical trials has advanced greatly over the last 20 years and, arguably, nowhere greater than that of…

### Handbook of Statistical Methods and Analyses in Sports

#### 1st Edition

**Jim Albert, Mark E. Glickman, Tim B. Swartz, Ruud H. Koning**

December 21, 2016

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 Neuroimaging Data Analysis

#### 1st Edition

**Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston**

November 14, 2016

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering…

### Handbook of Spatial Epidemiology

#### 1st Edition

**Andrew B. Lawson, Sudipto Banerjee, Robert P. Haining, Maria Dolores Ugarte**

April 04, 2016

Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space–time variations in…

### Handbook of Big Data

#### 1st Edition

**Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan**

February 18, 2016

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text…

### Handbook of Discrete-Valued Time Series

#### 1st Edition

**Richard A. Davis, Scott H. Holan, Robert Lund, Nalini Ravishanker**

December 21, 2015

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…

### Handbook of Cluster Analysis

#### 1st Edition

**Christian Hennig, Marina Meila, Fionn Murtagh, Roberto Rocci**

December 01, 2015

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

**Angela Dean, Max Morris, John Stufken, Derek Bingham**

June 26, 2015

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 Missing Data Methodology

#### 1st Edition

**Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke**

November 06, 2014

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 Mixed Membership Models and Their Applications

#### 1st Edition

**Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg**

November 06, 2014

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 Survival Analysis

#### 1st Edition

**John P. Klein, Hans C. van Houwelingen, Joseph G. Ibrahim, Thomas H. Scheike**

July 22, 2013

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the…

### Handbook of Markov Chain Monte Carlo

#### 1st Edition

**Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng**

May 10, 2011

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an…

### Handbook of Spatial Statistics

#### 1st Edition

**Alan E. Gelfand, Peter Diggle, Peter Guttorp, Montserrat Fuentes**

March 19, 2010

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among…

### Longitudinal Data Analysis

#### 1st Edition

**Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs**

August 11, 2008

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and…

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