Transcription of Introduction to Probability Models
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Introduction to Probability Models
Introduction toProbability ModelsNinth EditionThis page intentionally left blankIntroduction toProbability ModelsNinth EditionSheldon M. RossUniversity of CaliforniaBerkeley, CaliforniaAMSTERDAM BOSTON HEIDELBERG LONDONNEW YORK OXFORD PA R I S SAN DIEGOSAN FRANCISCO SINGAPORE SYDNEY TOKYOA cademic Press is an imprint of ElsevierAcquisitions EditorTom SingerProject ManagerSarah M. HajdukMarketing ManagersLinda Beattie, Leah AckersonCover DesignEric DeCiccoCompositionVTEXC over PrinterPhoenix ColorInterior PrinterThe Maple-Vail Book Manufacturing GroupAcademic Press is an imprint of Elsevier30 Corporate Drive, Suite 400, Burlington, MA 01803, USA525 B Street, Suite 1900, San Diego, California 92101-4495, USA84 Theobald s Road, London WC1X 8RR, UKThis book is printed on acid-free paper. Copyright 2007, Elsevier Inc. All rights part of this publication may be reproduced or transmitted in any form or by anymeans, electronic or mechanical, including photocopy, recording, or any informationstorage and retrieval system, without permission in writing from the may be sought directly from Elsevier s Science & Technology RightsDepartment in Oxford, UK: phone: (+44) 1865 843830, fax: (+44) 1865 853333,E-mail: You may also complete your request on-linevia the Elsevier homepage ( ), by selecting Support & Contact then Copyright and Permission and then Obtaining Permissions.
4.8. Time Reversible Markov Chains 236 4.9. Markov Chain Monte Carlo Methods 247 4.10. Markov Decision Processes 252 4.11. Hidden Markov Chains 256 4.11.1. Predicting the States 261 Exercises 263 References 280 5. The Exponential Distribution and the Poisson Process 281 5.1. Introduction 281 5.2. The Exponential Distribution 282 5.2.1 ...
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