New and Published Books
1-10 of 94 results in Chapman & Hall/CRC Texts in Statistical Science
Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological Studies Spatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the...
Published June 24th 2015 by Chapman and Hall/CRC
Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that...
Published April 16th 2015 by Chapman and Hall/CRC
Basic Ideas and Selected Topics, Volume I, Second Edition
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition...
Published April 10th 2015 by Chapman and Hall/CRC
Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data,...
Published December 17th 2014 by Chapman and Hall/CRC
Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range of examples from biomedical research. Well known for its nontechnical style, this third edition contains new chapters on frailty models and their applications, competing...
Published December 4th 2014 by Chapman and Hall/CRC
An Integrated Approach, Second Edition
A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on...
Published September 3rd 2014 by Chapman and Hall/CRC
Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses...
Published August 11th 2014 by Chapman and Hall/CRC
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google...
Published July 24th 2014 by Chapman and Hall/CRC
A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with...
Published July 1st 2014 by Chapman and Hall/CRC
With Examples in R
Understand the Foundations of Bayesian Networks—Core Properties and Definitions Explained Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the...
Published June 20th 2014 by Chapman and Hall/CRC
Spatio-Temporal Methods in Environmental Epidemiology
To Be Published July 7th 2015
Mathematical Statistics: Basic Ideas and Selected Topics, Volume II
To Be Published September 2nd 2015
Mathematical Statistics: Basic Ideas and Selected Topics, Volumes I-II Package
To Be Published September 24th 2015
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition
To Be Published December 16th 2015
Spatial Statistical Modelling with R
To Be Published May 15th 2016
High-Dimensional Regression Modeling: Methodology, Applications, and Software
To Be Published June 26th 2016