Computational Methods for Data Evaluation and Assimilation
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Computational Methods for Data Evaluation and AssimilationAuthor(s): Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9780367379612, 978-0367379612\nSynopsis\nData evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas.\n\nAfter presenting the fundamentals underlying the evaluation of experimental data, the book explains how to estimate covariances and confidence intervals from experimental data. It .
Computational Methods for Data Evaluation and Assimilation
Computational Methods for Data Evaluation and AssimilationAuthor(s): Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9780367379612, 978-0367379612\nSynopsis\nData evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas.\n\nAfter presenting the fundamentals underlying the evaluation of experimental data, the book explains how to estimate covariances and confidence intervals from experimental data. It .
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