Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook (Springer Series in Reliability Engineering)

0 valoración promedio
( 0 valoraciones por Goodreads )
 
9781447127086: Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook (Springer Series in Reliability Engineering)
Ver todas las copias de esta edición ISBN.
 
 
Reseña del editor:

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Otras ediciones populares con el mismo título

9781849961868: Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook (Springer Series in Reliability Engineering)

Edición Destacada

ISBN 10:  1849961867 ISBN 13:  9781849961868
Editorial: Springer, 2011
Tapa dura

Los mejores resultados en AbeBooks

1.

Dana Kelly, Curtis Smith
Publicado por Springer London Ltd, United Kingdom (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Paperback Cantidad disponible: 10
Impresión bajo demanda
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Springer London Ltd, United Kingdom, 2013. Paperback. Condición: New. 2011 ed.. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. del artículo: AAV9781447127086

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 119,63
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Dana Kelly, Curtis Smith
Publicado por Springer London Ltd, United Kingdom (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Paperback Cantidad disponible: 10
Librería
Book Depository hard to find
(London, Reino Unido)
Valoración
[?]

Descripción Springer London Ltd, United Kingdom, 2013. Paperback. Condición: New. 2011 ed.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. del artículo: LIE9781447127086

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 123,76
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

DANA KELLY
Publicado por Springer (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Paperback Cantidad disponible: 1
Librería
Herb Tandree Philosophy Books
(Stroud, GLOS, Reino Unido)
Valoración
[?]

Descripción Springer, 2013. Paperback. Condición: NEW. 9781447127086 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. del artículo: HTANDREE0406407

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 115,32
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 8,93
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Dana Kelly, Curtis Smith
Publicado por Springer London Ltd, United Kingdom (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Paperback Cantidad disponible: 10
Impresión bajo demanda
Librería
Book Depository International
(London, Reino Unido)
Valoración
[?]

Descripción Springer London Ltd, United Kingdom, 2013. Paperback. Condición: New. 2011 ed.. Language: English . Brand New Book ***** Print on Demand *****. 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. Nº de ref. del artículo: AAV9781447127086

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 127,71
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Dana Kelly
Publicado por Springer London Ltd (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Cantidad disponible: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción Springer London Ltd, 2013. PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: IQ-9781447127086

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 125,35
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,08
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Kelly, Dana
Publicado por Springer (2016)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Paperback Cantidad disponible: 1
Impresión bajo demanda
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción Springer, 2016. Paperback. Condición: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9781447127086_lsuk

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 137,43
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,33
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Dana Kelly
Publicado por Springer London Ltd (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Cantidad disponible: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción Springer London Ltd, 2013. PAP. Condición: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: IQ-9781447127086

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 141,18
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,40
A Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Dana Kelly; Curtis Smith
Publicado por Springer (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Tapa blanda Cantidad disponible: 15
Impresión bajo demanda
Librería
Valoración
[?]

Descripción Springer, 2013. Condición: New. This item is printed on demand for shipment within 3 working days. Nº de ref. del artículo: LP9781447127086

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 152,90
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,75
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Dana Kelly; Curtis Smith
Publicado por Springer (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Tapa blanda Cantidad disponible: 1
Librería
Irish Booksellers
(Portland, ME, Estados Unidos de America)
Valoración
[?]

Descripción Springer, 2013. Condición: New. book. Nº de ref. del artículo: M1447127080

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 176,32
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Dana Kelly
Publicado por Springer (2013)
ISBN 10: 1447127080 ISBN 13: 9781447127086
Nuevo Paperback Cantidad disponible: 2
Librería
Revaluation Books
(Exeter, Reino Unido)
Valoración
[?]

Descripción Springer, 2013. Paperback. Condición: Brand New. 264 pages. In Stock. Nº de ref. del artículo: x-1447127080

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 174,80
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 8,40
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda