MARC details
000 -LÍDER |
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001 - NÚMERO DE CONTROL |
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u372852 |
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL |
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SIRSI |
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN |
control field |
20160812084118.0 |
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL |
fixed length control field |
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008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL |
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110829s2011 xxk| s |||| 0|eng d |
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS |
International Standard Book Number |
9781849961875 |
-- |
978-1-84996-187-5 |
040 ## - FUENTE DE CATALOGACIÓN |
Transcribing agency |
MX-MeUAM |
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
Classification number |
TA169.7 |
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
Classification number |
T55-T55.3 |
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
Classification number |
TA403.6 |
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY |
Classification number |
658.56 |
Edition number |
23 |
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL |
Personal name |
Kelly, Dana. |
Relator term |
author. |
245 10 - MENCIÓN DE TITULO |
Title |
Bayesian Inference for Probabilistic Risk Assessment |
Medium |
[recurso electrónico] : |
Remainder of title |
A Practitioner's Guidebook / |
Statement of responsibility, etc. |
by Dana Kelly, Curtis Smith. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
London : |
Name of producer, publisher, distributor, manufacturer |
Springer London, |
Date of production, publication, distribution, manufacture, or copyright notice |
2011. |
300 ## - DESCRIPCIÓN FÍSICA |
Extent |
XII, 228 p. |
Other physical details |
online resource. |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
490 1# - MENCIÓN DE SERIE |
Series statement |
Springer Series in Reliability Engineering, |
International Standard Serial Number |
1614-7839 |
505 0# - NOTA DE CONTENIDO |
Formatted contents note |
1. Introduction and Motivation -- 2. Introduction to Bayesian Inference -- 3. Bayesian Inference for Common Aleatory Models -- 4. Bayesian Model Checking -- 5. Time Trends for Binomial and Poisson Data -- 6. Checking Convergence to Posterior Distribution -- 7. Hierarchical Bayes Models for Variability -- 8. More Complex Models for Random Durations -- 9. Modeling Failure with Repair -- 10. Bayesian Treatment of Uncertain Data -- 11. Bayesian Regression Models -- 12. Bayesian Inference for Multilevel Fault Tree Models -- 13. Additional Topics. |
520 ## - NOTA DE RESUMEN, ETC. |
Summary, etc. |
Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis “building blocks” that can be modified, combined, or used as-is to solve a variety of challenging problems. The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking. Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models. |
596 ## - |
-- |
19 |
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Engineering. |
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
System safety. |
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Engineering. |
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Quality Control, Reliability, Safety and Risk. |
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL |
Personal name |
Smith, Curtis. |
Relator term |
author. |
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781849961868 |
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME |
Uniform title |
Springer Series in Reliability Engineering, |
International Standard Serial Number |
1614-7839 |
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
<a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-84996-187-5">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-84996-187-5</a> |
942 ## - TIPO DE MATERIAL (KOHA) |
Koha item type |
Libro Electrónico |