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.
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 ...
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 ...
Mendelian Randomization: Methods for Causal Inference Using Genetic Variants
2nd Edition
By Stephen Burgess, Simon G. Thompson
June 29, 2021
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization from the fields of epidemiology, statistics, genetics, and...
Statistics for Fission Track Analysis
1st Edition
By Rex F. Galbraith
March 04, 2020
Statistical analyses of the numbers, lengths, and orientations of fission tracks etched in minerals yield dating and thermal history information valuable in geological and geoscience applications, particularly in oil exploration. Fission tracks can be represented mathematically by a stochastic ...
Statistical and Econometric Methods for Transportation Data Analysis
3rd Edition
By Simon Washington, Matthew G. Karlaftis, Fred Mannering, Panagiotis Anastasopoulos
February 20, 2020
The book's website (with databases and other support materials) can be accessed here. Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods … As a lecturer in both transportation and marketing research, I find this book an excellent textbook for...
Meta-analysis of Binary Data Using Profile Likelihood
1st Edition
By Dankmar Bohning, Sasivimol Rattanasiri, Ronny Kuhnert
October 21, 2019
Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled ...
Statistical and Computational Pharmacogenomics
1st Edition
By Rongling Wu, Min Lin
October 18, 2019
Due to the tremendous accumulation of data for genetic markers, pharmacogenomics, the study of the functions and interactions of all genes in the overall variability of drug response, is one of the hottest areas of research in biomedical science. Statistical and Computational Pharmacogenomics ...
An Invariant Approach to Statistical Analysis of Shapes
1st Edition
By Subhash R. Lele, Joan T. Richtsmeier
October 07, 2019
Natural scientists perceive and classify organisms primarily on the basis of their appearance and structure- their form , defined as that characteristic remaining invariant after translation, rotation, and possibly reflection of the object. The quantitative study of form and form change comprises ...
Compositional Data Analysis in Practice
1st Edition
By Michael Greenacre
July 26, 2018
Compositional data are quantitative descriptions of the parts of some whole, conveying exclusively relative information. Examples are found in various fields, including geology, medicine, chemistry, agriculture, economics, social science, etc. This concise book presents a very applied introduction ...
Statistics of Medical Imaging
1st Edition
By Tianhu Lei
June 14, 2017
Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging technologies have been ...