Name: Uncertainty Quantification: Theory, Implementation, and Applications (en Inglés)
Price: 120.43 USD
Availability: InStock
Author: Smith, Ralph
ISBN: 9781611973211

portada Uncertainty Quantification: Theory, Implementation, and Applications (en Inglés)

Uncertainty Quantification: Theory, Implementation, and Applications (en Inglés)

Formato

Libro Físico

Autor

Ralph Smith

Editorial

Society for Industrial and Applied Mathematic

Año

2014

Idioma

Inglés

N° páginas

400

Encuadernación

Tapa Dura

ISBN13

9781611973211

Categorías

Probabilidad y estadística

Uncertainty Quantification: Theory, Implementation, and Applications (en Inglés)

Ralph Smith (Autor) · Society for Industrial and Applied Mathematic · Tapa Dura

Libro Nuevo Importado

Envío: 25 a 32 días háb.

$ 218.96$ 120.43

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 4 unidades

$ 120.43

Llega entre el 16 Sep y el 29 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Uncertainty Quantification: Theory, Implementation, and Applications (en Inglés)"

The need to quantify and characterise uncertainties arising in mathematical models with unknown parameters leads to the rapidly evolving field of uncertainty quantification. This book provides readers with the concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models. It covers concepts from probability and statistics such as parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, and sensitivity analysis. The book goes on to explore applications and open problems from a wide array of disciplines, particularly those such as climate science, hydrology, and nuclear power where uncertainty quantification is crucial for both scientific understanding and public policy. An accompanying web page provides data used in the exercises and other supplementary material. The text is intended as a coursebook for advanced undergraduates and above, and as a resource for researchers in mathematics, statistics, operations research, science, and engineering.