Chapman & Hall/CRC Interdisciplinary Statistics
About the Book Series
Launched in the 1990s, reflecting the increasing importance of statistics in various fields of scientific research, the series aims to foster the application of statistical methodology in these disciplines. It is vital in the modern information era, with a prevalence of large and complex datasets, that researchers, practitioners and students from nearly all sciences have a solid understanding of statistical methods and their application.
The books in the series are necessarily very applied in nature, presenting overviews of statistical methodology with applications in fields as diverse as medical research, epidemiology, biology, genetics, ecology, actuarial science, social and behavioral science, and engineering. An emphasis is placed on describing the methods with sufficient rigor whilst assuming little in terms of the mathematical sophistication of the reader. The inclusion of detailed case studies and worked examples, preferably implemented using recognized statistical software, is therefore essential.
Please contact us if you have an idea for a book for the series.
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE
1st Edition
By Olivier Gimenez
March 30, 2026
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE introduces ecologists and statisticians to a powerful and unifying framework for analyzing capture-recapture data. Hidden Markov models (HMMs) have become a cornerstone in modern ...
Analysis of Capture-Recapture Data
1st Edition
By Rachel S. McCrea, Byron J. T. Morgan
October 14, 2024
An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the...
Model-Based Monitoring and Statistical Control
1st Edition
By Kohei Ohtsu
June 11, 2024
Available in English for the first time, this classic and influential book by the late Kohei Ohtsu presents real examples of ships in motion under irregular ocean waves, how to understand the characteristics of fluctuations of stochastic phenomena through spectral analysis methods and statistical ...
Bayesian Modeling of Spatio-Temporal Data with R
1st Edition
By Sujit Sahu
May 27, 2024
Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging inference and prediction. Ideally such ...
Statistical Methods in Epilepsy
1st Edition
Edited
By Sharon Chiang, Vikram Rao, Marina Vannucci
March 25, 2024
Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy ...
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications
1st Edition
By Yang Yang, Kenneth C. Land
January 21, 2023
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three ...
Bayesian Analysis for Population Ecology
1st Edition
By Ruth King, Byron Morgan, Olivier Gimenez, Steve Brooks
January 21, 2023
Novel Statistical Tools for Conserving and Managing PopulationsBy gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to ...
Measurement Error: Models, Methods, and Applications
1st Edition
By John P. Buonaccorsi
January 21, 2023
Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications ...
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata
1st Edition
By Francesco Bartolucci, Silvia Bacci, Michela Gnaldi
January 21, 2023
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in ...
Visualizing Data Patterns with Micromaps
1st Edition
By Daniel B. Carr, Linda Williams Pickle
January 21, 2023
After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data ...
Parameter Redundancy and Identifiability
1st Edition
By Diana Cole
December 13, 2021
Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible to find parameter estimates for every parameter in that model, but, in some cases, this is not possible. For example, two parameters that only ever ...
Flexible Imputation of Missing Data, Second Edition
2nd Edition
By Stef van Buuren
September 30, 2021
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between ...