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Probability with R: An Introduction with Computer Science Applications
Second Edition
Jane M. Horgan
Copyright
This second edition first published 2020
© 2020 John Wiley & Sons, Inc. All rights reserved.
Edition History
John Wiley & Sons, Inc. (1e, 2009)
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Library of Congress Cataloging‐in‐Publication Data
Names: Horgan, Jane M., author.
Title: Probability with R : an introduction with computer science
applications / Jane Mary Horgan.
Description: Second edition. | Hoboken, NJ, USA : Wiley, 2020. | Includes
bibliographical references and index.
Identifiers: LCCN 2019032520 (print) | LCCN 2019032521 (ebook) | ISBN
9781119536949 (hardback) | ISBN 9781119536925 (adobe pdf) | ISBN
9781119536987 (epub)
Subjects: LCSH: Computer science–Mathematics. | Probabilities. | R
(Computer program language)
Classification: LCC QA76.9.M35 H863 2020 (print) | LCC QA76.9.M35 (ebook)
| DDC 004.01/5113–dc23
LC record available at https://lccn.loc.gov/2019032520
LC ebook record available at https://lccn.loc.gov/2019032521
Cover design by Wiley
Dedication
To the memory of Willie, referee, and father of all the Horgans
Preface to the Second Edition
It is now over 10 years since the publication of the first edition of “Probability with R.” Back then we had just begun to hear of smartphones, fitbits, apps, and Bluetooth; machine learning was in its infancy. It is timely to address how probability applies to new developments in computing. The applications and examples of the first edition are beginning to look somewhat passé and old fashioned. Here, therefore, we offer an updated and extended version of that first edition.
This second edition is still intended to be a first course in probability, addressed to students of computing and related disciplines. As in the first edition, we favor experimentation and simulation rather than the traditional mathematical approach. We continue to rely on the freely downloadable language R, which has of course evolved over the past 10 years.
Our R programs are integrated throughout the text, to illustrate the concepts of probability, to simulate distributions, and to explore new problems. We have been mindful to avoid as far as is possible mathematical details, instead encouraging students to investigate for themselves, through experimentation and simulation in R. Algebraic derivations, when deemed necessary, are developed in the appendices.
In this second edition, all chapters have been revised and updated. Examples and applications of probability in new areas of computing, as well as exercises and projects, have been added to most chapters. The R code has been improved and expanded, by using procedures and functions that have become available in recent years. Extended use of loops and curve facilities to generate graphs with differing parameters have tidied up our approach to limiting distributions.
Briefly the changes in this second edition are
