Board mathematical sciences applications (27 Ergebnisse)
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- Softcover
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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.
Everybody Counts: A Report to the Nation on the Future of Mathematics Education
National Research Council; Board on Mathematical Sciences and Their Applications; Mathematical Sciences Education Board
- Softcover
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Everybody Counts: A Report to the Nation on the Future of Mathematics Education
National Research Council; Board on Mathematical Sciences and Their Applications; Mathematical Sciences Education Board
- Softcover
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Renewing U.S. Mathematics
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Board On Mathematical Sciences; Committee On The Mathematical Sciences: Status And Future Directions
- Softcover
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Zustand: Used. pp. 148.
- Softcover
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Renewing U.S. Mathematics
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Board On Mathematical Sciences; Committee On The Mathematical Sciences: Status And Future Directions
- Softcover
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Renewing U. S. Mathematics - A Plan for the 1990s
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Board On Mathematical Sciences; Committee On The Mathematical Sciences: Status And Future Directions
- Softcover
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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.
- Softcover
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Paperback. Zustand: Very Good.
Mathematics And 21St Century Biology
National Research Council; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; Committee On Mathematical Sciences Research For DOE's Computational Biology
- Softcover
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Spatial Statistics And Digital Image Analysis
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Board On Mathematical Sciences; Panel On Spatial Statistics And Image Processing
- Softcover
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Refining the Concept of Scientific Inference When Working with Big Data
National Academies Of Sciences, Engineering, And Medicine; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; Committee On Applied And Theoretical Statistics
- Softcover
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Refining the Concept of Scientific Inference When Working with Big Data
National Academies Of Sciences, Engineering, And Medicine; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; Committee On Applied And Theoretical Statistics
- Softcover
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Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop
National Academies Of Sciences, Engineering, And Medicine; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; Committee On Applied And Theoretical Statistics
- Softcover
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Uncertainty Management in Remote Sensing of Climate Data: Summary of a Workshop
National Research Council; Division On Engineering And Physical Sciences; Division On Earth And Life Studies; Committee On Earth Studies; Space Studies Board; Committee On Applied And Theoretical Statistics; Board On Mathematical Sciences And Their Applications; Climate Research Committee; Board On Atmospheric Sciences And Climate
- Softcover
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- Softcover
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Paperback. Zustand: Brand New. 114 pages. 9.61x6.81x0.31 inches. In Stock.
Uncertainty Management in Remote Sensing of Climate Data
Climate Research Committee; Board on Atmospheric Sciences & Climate; Board on Mathematical Sciences and Their Applications; Committee on Applied and
- Softcover
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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.
Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop
National Academies Of Sciences, Engineering, And Medicine; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; Committee On Applied And Theoretical Statistics
- Softcover
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Zustand: New. 2016. Illustrated. paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: The National Academies Press, Washington DC, 2012
- Softcover
- Erstausgabe
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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 result…s, 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.
Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop
National Academies Of Sciences, Engineering, And Medicine; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; Committee On Applied And Theoretical Statistics
- Softcover
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Zustand: New. 2017. Illustrated. paperback. . . . . . Books ship from the US and Ireland.
- Softcover
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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.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware - Great advances have been made in our understanding of the climate system over the past few decades, and remotely sensed data have played a key role in supporting many of these advances. Improvements in satellites and in computational and data-handling techniques have yielded high quality, rea…dily accessible data. However, rapid increases in data volume have also led to large and complex datasets that pose significant challenges in data analysis. Uncertainty characterization is needed for every satellite mission and scientists continue to be challenged by the need to reduce the uncertainty in remotely sensed climate records and projections. The approaches currently used to quantify the uncertainty in remotely sensed data lack an overall mathematically based framework. An additional challenge is characterizing uncertainty in ways that are useful to a broad spectrum of end-users. In December 2008, the National Academies held a workshop, summarized in this volume, to survey how statisticians, climate scientists, and remote sensing experts might address the challenges of uncertainty management in remote sensing of climate data. The workshop emphasized raising and discussing issues that could be studied more intently by individual researchers or teams of researchers, and setting the stage for possible future collaborative activities.
Refining the Concept of Scientific Inference When Working with Big Data | Proceedings of a Workshop
Board on Mathematical Sciences and Their Applications (u. a.)
- Softcover
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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 E…U: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Discriminant Analysis and Clustering
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Board On Mathematical Sciences; Committee On Applied And Theoretical Statistics; Classification And Clustering; Panel On Discriminant Analysis
- Softcover
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Discriminant Analysis and Clustering
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Board On Mathematical Sciences; Committee On Applied And Theoretical Statistics; Classification And Clustering; Panel On Discriminant Analysis
- Softcover
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Discriminant Analysis and Clustering
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Board On Mathematical Sciences; Committee On Applied And Theoretical Statistics; Classification And Clustering; Panel On Discriminant Analysis
- Softcover
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