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Bayesian analysis of stochastic process models / (Record no. 11572)

MARC details
000 -LEADER
fixed length control field 06381cam a2200685 i 4500
001 - CONTROL NUMBER
control field ocn775099472
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20171224113825.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120202s2012 nju ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2012004782
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency DLC
Modifying agency N$T
-- DG1
-- CUS
-- OCLCF
-- MERUC
-- OCLCQ
-- DEBBG
019 ## -
-- 793103956
-- 794822653
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470975923
Qualifying information (Adobe PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 047097592X
Qualifying information (Adobe PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118304037
Qualifying information (ePub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1118304039
Qualifying information (ePub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118304204
Qualifying information (MobiPocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1118304209
Qualifying information (MobiPocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470975916
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0470975911
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780470744536
Qualifying information (hardback)
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000048545199
029 1# - (OCLC)
OCLC library identifier NZ1
System control number 15351430
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV043394076
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)775099472
Canceled/invalid control number (OCoLC)793103956
-- (OCoLC)794822653
037 ## - SOURCE OF ACQUISITION
Stock number 10.1002/9780470975916
Source of stock number/acquisition Wiley InterScience
Note http://www3.interscience.wiley.com
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA279.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 029010
Source bisacsh
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5/42
Edition number 23
084 ## - OTHER CLASSIFICATION NUMBER
Classification number MAT029010
Source of number bisacsh
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ruggeri, Fabrizio.
245 10 - TITLE STATEMENT
Title Bayesian analysis of stochastic process models /
Statement of responsibility, etc Fabrizio Ruggeri, Michael P. Wiper, David Rios Insua.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc 2012.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- unmediated
-- n
-- rdamedia
338 ## -
-- volume
-- nc
-- rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc "This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, decision-making and important applied models based on stochastic processes. In offers an introduction of MCMC and other statistical computing machinery that have pushed forward advances in Bayesian methodology. Addressing the growing interest for Bayesian analysis of more complex models, based on stochastic processes, this book aims to unite scattered information into one comprehensive and reliable volume"--
-- Provided by publisher.
520 ## - SUMMARY, ETC.
Summary, etc "A unique book on Bayesian analyses of stochastic process based models"--
-- Provided by publisher.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
500 ## - GENERAL NOTE
General note Machine generated contents note: Preface 1 Stochastic Processes 11 1.1 Introduction 11 1.2 Key Concepts in Stochastic Processes 11 1.3 Main Classes of Stochastic Processes 16 1.4 Inference, Prediction and Decision Making 21 1.5 Discussion 23 2 Bayesian Analysis 27 2.1 Introduction 27 2.2 Bayesian Statistics 28 2.3 Bayesian Decision Analysis 37 2.4 Bayesian Computation 39 2.5 Discussion 51 3 Discrete Time Markov Chains 61 3.1 Introduction 61 3.2 Important Markov Chain Models 62 3.3 Inference for First Order Chains 66 3.4 Special Topics 76 3.5 Case Study: Wind Directions at Gij́on 87 3.6 Markov Decision Processes 94 3.7 Discussion 97 4 Continuous Time Markov Chains and Extensions 105 4.1 Introduction 105 4.2 Basic Setup and Results 106 4.3 Inference and Prediction for CTMCs 108 4.4 Case Study: Hardware Availability through CTMCs 112 4.5 Semi-Markovian Processes 118 4.6 Decision Making with Semi-Markovian Decision Processes 122 4.7 Discussion 128 5 Poisson Processes and Extensions 133 5.1 Introduction 133 5.2 Basics on Poisson Processes 134 5.3 Homogeneous Poisson Processes 138 5.4 Nonhomogeneous Poisson Processes 147 5.5 Compound Poisson Processes 153 5.6 Further Extensions of Poisson Processes 154 5.7 Case Study: Earthquake Occurrences 157 5.8 Discussion 162 6 Continuous Time Continuous Space Processes 169 6.1 Introduction 169 6.2 Gaussian Processes 170 6.3 Brownian Motion and Fractional Brownian Motion 174 6.4 Dilusions 181 6.5 Case Study: Prey-predator Systems 184 6.6 Discussion 190 7 Queueing Analysis 201 7.1 Introduction 201 7.2 Basic Queueing Concepts 201 7.3 The Main Queueing Models 204 7.4 Inference for Queueing Systems 208 7.5 Inference for M=M=1 Systems 209 7.6 Inference for Non Markovian Systems 220 7.7 Decision Problems in Queueing Systems 229 7.8 Case Study: Optimal Number of Beds in a Hospital 230 7.9 Discussion 235 8 Reliability 245 8.1 Introduction 245 8.2 Basic Reliability Concepts 246 8.3 Renewal Processes 249 8.4 Poisson Processes 251 8.5 Other Processes 259 8.6 Maintenance 262 8.7 Case Study: Gas Escapes 263 8.8 Discussion 271 9 Discrete Event Simulation 279 9.1 Introduction 279 9.2 Discrete Event Simulation Methods 280 9.3 A Bayesian View of DES 283 9.4 Case Study: A G=G=1 Queueing System 286 9.5 Bayesian Output Analysis 288 9.6 Simulation and Optimization 292 9.7 Discussion 294 10 Risk Analysis 301 10.1 Introduction 301 10.2 Risk Measures 302 10.3 Ruin Problems 316 10.4 Case Study: Ruin Probability Estimation 320 10.5 Discussion 327 Appendix A Main Distributions 337 Appendix B Generating Functions and the Laplace-Stieltjes Transform 347 Index.
588 0# -
-- Print version record and CIP data provided by publisher.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Front Matter -- Basic Concepts and Tools. Stochastic Processes -- Bayesian Analysis -- Models. Discrete Time Markov Chains and Extensions -- Continuous Time Markov Chains and Extensions -- Poisson Processes and Extensions -- Continuous Time Continuous Space Processes -- Applications. Queueing Analysis -- Reliability -- Discrete Event Simulation -- Risk Analysis -- Appendix A: Main Distributions -- Appendix B: Generating Functions and the Laplace₆Stieltjes Transform -- Index -- Wiley Series in Probability and Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic processes.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS
General subdivision Probability & Statistics
-- Bayesian Analysis.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
Source of heading or term fast
-- (OCoLC)fst00829019
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic processes.
Source of heading or term fast
-- (OCoLC)fst01133519
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wiper, Michael P.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ríos Insua, David,
Dates associated with a name 1964-
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Ruggeri, Fabrizio.
Title Bayesian analysis of stochastic process models.
Place, publisher, and date of publication Hoboken, New Jersey : Wiley, 2012
International Standard Book Number 9780470744536
Record control number (DLC) 2012000092
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://onlinelibrary.wiley.com/book/10.1002/9780470975916">http://onlinelibrary.wiley.com/book/10.1002/9780470975916</a>
Public note Wiley Online Library
938 ## -
-- EBSCOhost
-- EBSC
-- 443018
994 ## -
-- 92
-- DG1

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