Uncertainty quantification : (Record no. 68734)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02481nam a22001697a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211008b2014 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781611973211 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.544 SMI-R |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Smith, Ralph C. |
| 245 ## - TITLE STATEMENT | |
| Title | Uncertainty quantification : |
| Remainder of title | theory, implementation, and applications / |
| Statement of responsibility, etc. | Ralph C. Smith |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Philadelphia |
| Name of publisher, distributor, etc. | Society for Industrial and Applied Mathematics |
| Date of publication, distribution, etc. | 2014 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 382 p. |
| 365 ## - TRADE PRICE | |
| Price type code | USD |
| Price amount | 79.00. |
| 500 ## - GENERAL NOTE | |
| General note | The field of uncertainty quantification is evolving rapidly because of the increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate the implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provide readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines.<br/>The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of a model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.<br/><br/>Uncertainty Quantification: Theory, Implementation, and Applications include a large number of definitions and examples that use a suite of relatively simple models to illustrate concepts; numerous references to current and open research issues; and exercises that illustrate basic concepts and guide readers through the numerical implementation of algorithms for prototypical problems. It also features a wide range of applications, including weather and climate models, subsurface hydrology and geology models, nuclear power plant design, and models for biological phenomena, along with recent advances and topics that have appeared in the research literature within the last 15 years, including aspects of Bayesian model calibration, surrogate model development, parameter selection techniques, and global sensitivity analysis. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Measurement uncertainty (Statistics) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Estimation theory |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
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| Dewey Decimal Classification | 510 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 08/10/2021 | 1 | 519.544 SMI-R | 42427 | 13/07/2024 | 01/07/2023 | 08/10/2021 | Books |