Board mathematical sciences applications (28 Ergebnisse)

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Fair. Acceptable condition. (Mathematics, Education, Teaching) A readable, intact copy that may have noticeable tears and wear to the spine. All pages of text are present, but they may include extensive notes and highlighting or be heavily stained. Includes reading copy only books.

Paperback. Zustand: As New. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDNear Fine.

Paperback. Zustand: As New. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDfrom foundation library with blindstamp and pocket looks unused.

Zustand: Used. pp. 148.

paperback. Zustand: Very Good.

Zustand: Used. pp. 148.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Paperback. Zustand: Very Good.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Paperback. Zustand: Brand New. 114 pages. 9.61x6.81x0.31 inches. In Stock.

Zustand: New. In.

Zustand: New. "Board on Atmospheric Sciences and Climate, Climate Research Committee, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Space Studies Board, Committee on Earth Studies, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, National Research Council." Editor(s): Weidman, Scott. Num Pages: 63 pages, colour illustrations, maps, figures. BIC Classification: RBP. Category: (P) Professional & Vocational. Dimension: 220 x 151 x 4. Weight in Grams: 126. . 2009. Paperback. . . . . Books ship from the US and Ireland.…

Zustand: New. 2016. Illustrated. paperback. . . . . . Books ship from the US and Ireland.

Trade paperback. Zustand: Very good. Presumed First Edition, First printing. xi, [1], 131, [1] pages. Footnotes. Formulae. Figures (some with color). Boxes (some with color). References. In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council (NRC) was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. The specific tasking to the Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification is as follows: ? A committee of the National Research Council will examine practices for VVUQ of large-scale computational simulations in several research communities. ? The committee will identify common concepts, terms, approaches, tools, and best practices of VVUQ. ? The committee will identify mathematical sciences research needed to establish a foundation for building a science of verification and validation (V&V) and for improving the practice of VVUQ. ? The committee will recommend educational changes needed in the mathematical sciences community and mathematical sciences education needed by other scientific communities to most effectively use VVUQ. Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.…

Zustand: New. 2017. Illustrated. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.…

Taschenbuch. Zustand: Neu. Refining the Concept of Scientific Inference When Working with Big Data | Proceedings of a Workshop | Board on Mathematical Sciences and Their Applications (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | National Academies Press | EAN 9780309454445 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.