Probability with Applications in Engineering, Science, and Technology
This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications
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Matthew A. Carlton Jay L. Devore
Probability with Applications in Engineering, Science, and Technology Second Edition
Springer Texts in Statistics Series Editors R. DeVeaux S.E. Fienberg I. Olkin
More information about this series at http://www.springer.com/series/417
Matthew A. Carlton • Jay L. Devore
Probability with Applications in Engineering, Science, and Technology Second Edition
Editors Matthew A. Carlton Department of Statistics California Polytechnic State University San Luis Obispo, CA, USA
Jay L. Devore Department of Statistics California Polytechnic State University San Luis Obispo, CA, USA
Additional material to this book can be downloaded from http://extras.springer.com. ISSN 1431-875X ISSN 2197-4136 (eBook) Springer Texts in Statistics ISBN 978-3-319-52400-9 ISBN 978-3-319-52401-6 (eBook) DOI 10.1007/978-3-319-52401-6 Library of Congress Control Number: 2017932278 # Springer International Publishing AG 2014, 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Purpose Our objective is to provide a post-calculus introduction to the subject of probability that • • • •
Has mathematical integrity and contains some underlying theory Shows students a broad range of applications involving real problem scenarios Is current in its selection of topics Is accessible to a wide audience, including mathematics and statistics majors (yes, there are a few of the latter, and their numbers are growing), prospective engineers and scientists, and business and social science majors interested in the quantitative aspects of their disciplines • Illustrates the importance of software for carrying out simulations when answers to questions cannot be obtained analytically A number of currently available probability texts are heavily oriented towar
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