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Schay G. - Introduction to Probability with Statistical Applications (Birkhauser, 2007).pdf

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Schay G. - Introduction to Probability with Statistical Applications (Birkhauser, 2007).pdf

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Schay G. - Introduction to Probability with Statistical Applications (Birkhauser, 2007).pdf

文档介绍

文档介绍:Geza´ Schay
Introduction to Probability
with Statistical Applications
Birkhauser¨
Boston • Basel • Berlin
Geza´ Schay
University of Massachusetts Boston
Department of Mathematics
Boston, MA 02125
.
******@
Cover design by Mary Burgess.
Mathematics Subject Classification (2000): 60-01, 62-01
Library of Congress Control Number: 2007930422
ISBN-13: 978-0-8176-4497-0 e-ISBN-13: 978-0-8176-4591-5
Printed on acid-free paper.
c 2007, Birkhauser¨ Boston
All rights reserved. This work may not be translated or copied in whole or in part without the writ-
ten permission of the publisher (Birkhauser¨ Boston, c/o Springer Science+Business Media LLC, 233
Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or
scholarly analysis. Use in connection with any form of information storage and retrieval, electronic
adaptation, computer software, or by similar or dissimilar methodology now known or hereafter de-
veloped is forbidden.
The use in this publication of trade names, trademarks, service marks and similar terms, even if they
are not identified as such, is not to be taken as an expression of opinion as to whether or not they are
subject to proprietary rights.
987654321
(TXQ/EB)
Preface
This book provides a calculus-based introduction to probability and statistics. It con-
tains enough material for two semesters but, with judicious selection, it can be used
as a textbook for a one-semester course, either in probability and statistics or in prob-
ability alone.
Each section contains many examples and exercises and, in the statistical sec-
tions, examples taken from current research journals.
The discussion is rigorous, with carefully motivated definitions, theorems and
proofs, but aimed for an audience, such puter science students, whose mathe-
matical background is not very strong and who do not need the detail and mathemat-
ical depth of similar books written for mathematics or statistics

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