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عنوان
Bayesian analysis of stochastic process models

پدید آورنده
/ David Rios Insua, Department of Statistics and Operations Research Universidad Rey Juan Carlos, Madrid, Spain, Fabrizio Ruggeri, CNR-IMATI, Milan, Italy, Michael P. Wiper, Department of Statistics, Universidad Carlos III de Madrid, Spain

موضوع
Bayesian statistical decision theory.,Stochastic processes.

رده
E-BOOK

کتابخانه
Central Library, Center of Documentation and Supply of Scientific Resources

محل استقرار
استان: East Azarbaijan ـ شهر:

Central Library, Center of Documentation and Supply of Scientific Resources

تماس با کتابخانه : 04133443834

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9780470744536 (hardback)

NATIONAL BIBLIOGRAPHY NUMBER

Country Code
IR
Number
EN-46010

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

COUNTRY OF PUBLICATION OR PRODUCTlON

Country of publication
IR

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Bayesian analysis of stochastic process models
General Material Designation
[Book]
First Statement of Responsibility
/ David Rios Insua, Department of Statistics and Operations Research Universidad Rey Juan Carlos, Madrid, Spain, Fabrizio Ruggeri, CNR-IMATI, Milan, Italy, Michael P. Wiper, Department of Statistics, Universidad Carlos III de Madrid, Spain

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Chichester, West Sussex
Name of Publisher, Distributor, etc.
: Wiley
Date of Publication, Distribution, etc.
, 2012.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xiii, 290 pages
Other Physical Details
: illustrations
Dimensions
; 24 cm.

SERIES

Series Title
(Wiley series in probability and statistics.)

GENERAL NOTES

Text of 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 Giajon 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.

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Electronic

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

SERIES

Title
Wiley series in probability and statistics

TOPICAL NAME USED AS SUBJECT

Bayesian statistical decision theory.
Stochastic processes.

LIBRARY OF CONGRESS CLASSIFICATION

Class number
E-BOOK

PERSONAL NAME - PRIMARY RESPONSIBILITY

Raios Insua, David, 1964

PERSONAL NAME - SECONDARY RESPONSIBILITY

Ruggeri, Fabrizio
Wiper, Michael P

ORIGINATING SOURCE

Country
ایران

ELECTRONIC LOCATION AND ACCESS

Host name
Bayesian analysis of stochastic process models
Access number
عادی
Compression information
عادی
Electronic name
EN-46010.pdf
Bits per second
0
Contact for access assistance
ایمانی
Electronic Format Type
متن
File size
0
Record control number
EN-46011
Public note
انگلیسی

old catalog

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