From XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX@xmr3.com Wed Sep 23 07:07:18 2009 Return-Path: Received: from memailout25.messagereach.com (memailout25.messagereach.com [205.183.255.162]) by smtp.XXXXXXX.XXX (8.14.3/8.14.3) with ESMTP id n8NE7GVo030241 for ; Wed, 23 Sep 2009 07:07:17 -0700 Received: from [205.183.255.205] ([205.183.255.205:52559] helo=memailoutr1.messagereach.com) by mrmailout1.xpedite.com (envelope-from ) (ecelerity 2.2.2.43 r(32041/32483)) with ESMTP id E0/0D-05910-49B2ABA4; Wed, 23 Sep 2009 10:07:16 -0400 Date: Wed, 23 Sep 2009 10:06:55 -0400 To: XXX@XXXXXXX.XXX From: Mathematics Books from Elsevier Subject: Introduction to Probability and Statistics for Engineers and Scientists, 4e Mime-Version: 1.0 Message-Id: Content-Type: multipart/alternative; boundary=MEboundary-1903015-6-1253627350 X-xsi-job: 1903015 X-xsi-user-id: mdr083 X-xsi-domain: usme X-Proofpoint-Virus-Version: vendor=fsecure engine=1.12.8161:2.4.5,1.2.40,4.0.166 definitions=2009-09-23_07:2009-09-22,2009-09-23,2009-09-23 signatures=0 X-Proofpoint-Spam-Details: rule=notspam policy=default score=0 spamscore=0 ipscore=0 phishscore=0 bulkscore=2 adultscore=0 classifier=spam adjust=0 reason=mlx engine=5.0.0-0908210000 definitions=main-0909230067 Status: O --MEboundary-1903015-6-1253627350 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit To display this email in a browser, please click here: http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto1_XXXXXXXXXXXXXXXXXXXXXXXXXXXXX.html --------------------------------------------------------------------------- Now Available for TEXTBOOK REVIEW http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto2_XXXXXXXXXXXXXXXXXXXXXXXXXXXXX.html Markov Processes for Stochastic Modeling http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto4_ks.elsevier.com-XXXXXXXXXXXXX.html Oliver C. Ibe University of Massachusetts, Lowell Available, Hardcover, 512 pp ISBN: 978-0-12-374451-7 List Price: $ 89.95 "This is a great textbook for a class with students from different (majors) ... examples make this book valuable." - Liqing Yan, University of Florida About: Markov Processes for Stochastic Modeling http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto5_ks.elsevier.com-XXXXXXXXXXXXX.html is written for upper-level undergraduate and graduate students in engineering, science and business. It offers a unified presentation of the different Markovian models that - until now - were individually scattered across many books. By combining the theory and applications of the many different types of models and processes, this innovative textbook provides students and professors with a flexible and comprehensive resource in and out of the classroom. Features: * Practical, current applications of Markov processes * Level and amount of theory necessary for students to understand the subject * End-of-chapter exercises Coverage of HMM, Point Processes and Monte Carlo * Algorithmic testing by Maple available * Student solutions and instructors solutions manual available * Algorithmic testing by Maple available * Student solutions and instructors solutions manual available Contents: Preface Acknowledgement Chapter 1: Basic Concepts Chapter 2: Introduction to Markov Processes Chapter 3: Discrete-Time Markov Chains Chapter 4: Continuous-Time Markov Chains Chapter 5: Markovian Queueing Systems Chapter 6: Markov Renewal Processes Chapter 7: Markovian Arrival Processes Chapter 8: Random Walk Chapter 9: Brownian Motion and Diffusion Processes Chapter 10: Controlled Markov Processes Chapter 11: Hidden Markov Processes Chapter 12: Markov Random Fields Chapter 13: Markov Point Processes Chapter 14: Markov Chain - Monte Carlo References Index Register to request your exam copy TODAY at http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/http-textbooks.elsevier.com-.html or for more information about this and other mathematics and statistics textbooks, visit our website at http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto7_lsevierdirect.com-mathematics.html http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto8_XXXXXXXXXXXXXXXXXXXXXXXXXXXXX.html Elsevier, Inc. 525 B Street, Suite 1900 San Diego, CA 92101 This is a commercial message. --------------------------------------------------- If you would prefer not to receive further messages from this sender, please click on the following link and confirm your request: mailto:XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX@xmr3.com You will receive one additional e-mail message confirming your removal. --MEboundary-1903015-6-1253627350 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable   =20   =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20
           
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=

Introduction to Probabili= ty and Statistics for Engineers and Scientists, 4e
Sheldon M. Ross
University of Southern California, Los A= ngeles


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Available, Hardcover, 680 pp
ISBN: 978-0-12-370483-2
List Price: $ 104.95

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 "Ross’s book is an excellent introduction to classica= l probability theory and statistics. The explanations are absolutely cle= ar; well-chosen examples help students to understand the point of each s= ection… The Ross elegance is so characteristic and legendary. I s= imply love it."
- Gabor Szekely, Bowling Green State University

=
Abo= ut
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This classic text provides a rigorous introduction to basic probabili= ty theory and statistical inference that is motivated by engaging, relev= ant applications. It is intended for junior/senior undergraduates taking= probability and statistics as it applies to engineering, science or com= puter science, and assumes knowledge of elementary calculus.

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Adopters of Ross’ earlier edition continue to praise the extrao= rdinary clear exposition and writing style. The Introduction to Probability and Stati= stics for Engineers and Scientists emphasizes the manner in which probability yields insight int= o statistical problems ensuring this edition will appeal to a new genera= tion of engineers and scientists. The enclosed CD-ROM contains easy-to-u= se software that automates many of the computations required for the exe= rcises and aids students in applying probability theory to everyday stat= istical problems and situations.

Features
    =20
  • New chapter on Simulation, Bootstrap Statistical Methods, and Permut= ation Tests =20
  • 20% new updated problem sets and applications demonstrating updated = applications to engineering as well as biological, physical and computer= science=20
  • New real data examples that use significant real data from actual st= udies across the life science, engineering, computing and business disci= plines=20
  • New end-of-chapter review material that emphasizes key ideas as well= as the risks associated with practical application of the material
  • =
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&nb= sp;Contents

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Preface Chapter   1  Introduction to Statistics
Chapter   2  Descriptive Statistics
Chapter   3  Elements of Probability
Chapter   4  Random Variables and Expectation
Chapter   5  Special Random Variables
Chapter   6  Distributions of Sampling Statistics
Chapter   7  Parameter Estimation
Chapter   8  Hypothesis Testing
Chapter   9  Regression
Chapter 10  Analysis of Variance
Chapter 11  Goodness of Fit Tests and Categorical Data Analysis
= Chapter 12  Nonparametric Hypothesis Tests
Chapter 13  Quality Control
Chapter 14  Life Testing
Chapter 15  Simulation, Bootstrap Statistical Methods, and Permutat= ion Tests
Appendix of Tables

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Register to request your exam copy TODAY at
 http://textbooks.elsevier.com <= /STRONG>
or
for more information about this and other mathematics and statistics tex= tbooks,
visit our website at
elsevierdirect.com/mathematics

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