Applied Data Analysis and Modeling for Energy Engineers and Scientists

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probabil...

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Hlavní autor: Reddy, T. Agami
Médium: Livre numérique
Jazyk:Anglais
Vydáno: New York, NY : Springer US : Imprint: Springer [20..].
Cham : Springer Nature
Vydání:1st ed. 2011.
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Poznámka: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Applied Data Analysis and Modeling for Energy Engineers and Scientists, Texte imprimé, 9781441996121
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Shrnutí:Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the processes along with the tools. Applied Data Analysis and Modeling for Energy Engineers and Scientists is an ideal volume for researchers, practitioners, and senior level or graduate students working in energy engineering, mathematical modeling and other related areas.  
Popis jednotky:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781441996138
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017