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Computational Methods for Data Evaluation and Assimilation.

Data 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cacuci, Dan Gabriel
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : CRC Press, 2013.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Data 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. After presenting the fundamentals underlying the evaluation of experiment.
Descripción Física:1 online resource (372 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781584887362
1584887362