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Chapman & Hall/CRC Texts in Statistical Science


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A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning

1st Edition

Forthcoming

Taylor Arnold, Michael Kane, Bryan W. Lewis
February 12, 2019

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal...

Statistics in Engineering: With Examples in MATLAB® and R, Second Edition

Statistics in Engineering: With Examples in MATLAB® and R, Second Edition

2nd Edition

Forthcoming

Andrew Metcalfe, David Green, Tony Greenfield, Mayhayaudin Mansor, Andrew Smith, Jonathan Tuke
January 23, 2019

Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of...

Introduction to Probability, Second Edition

Introduction to Probability, Second Edition

2nd Edition

Forthcoming

Joseph K. Blitzstein, Jessica Hwang
January 09, 2019

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...

Graphics for Statistics and Data Analysis with R

Graphics for Statistics and Data Analysis with R

2nd Edition

Kevin J. Keen
May 18, 2018

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is...

An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models

4th Edition

Annette J. Dobson, Adrian G. Barnett
April 13, 2018

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection,...

Linear Models and the Relevant Distributions and Matrix Algebra

Linear Models and the Relevant Distributions and Matrix Algebra

1st Edition

David A. Harville
March 13, 2018

Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models...

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference

1st Edition

Athanasios Christou Micheas
January 24, 2018

This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks;...

Stochastic Processes: An Introduction, Third Edition

Stochastic Processes: An Introduction, Third Edition

3rd Edition

Peter Watts Jones, Peter Smith
October 16, 2017

Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments, where processes evolve over time. The text begins with a review of relevant fundamental probability...

Introduction to Functional Data Analysis

Introduction to Functional Data Analysis

1st Edition

Piotr Kokoszka, Matthew Reimherr
August 09, 2017

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework....

Statistical Regression and Classification: From Linear Models to Machine Learning

Statistical Regression and Classification: From Linear Models to Machine Learning

1st Edition

Norman Matloff
August 01, 2017

Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thorough...

Introduction to Statistical Methods for Financial Models

Introduction to Statistical Methods for Financial Models

1st Edition

Thomas A Severini
July 12, 2017

This book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters of the book fall naturally into three sections. Chapters 1 to 3 cover some basic concepts of finance, focusing on the properties of returns on an asset. Chapters 4...

Design of Experiments: An Introduction Based on Linear Models

Design of Experiments: An Introduction Based on Linear Models

1st Edition

Max Morris
May 31, 2017

Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for...

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