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Applied Data Analysis and Modeling for Energy Engineers and Scientists
T. Agami Reddy
€ 165.47
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Description for Applied Data Analysis and Modeling for Energy Engineers and Scientists
Paperback. Focusing on the analysis and modeling of thermal systems in engineering, this volume covers the mathematics, data interpretation and decision analysis required for researchers and engineers to scrutinize their methodologies and arrive at robust conclusions. Num Pages: 451 pages, biography. BIC Classification: PBT; TGMB; TH. Category: (G) General (US: Trade). Dimension: 279 x 210 x 23. Weight in Grams: 1106.
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, ... Read more
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, ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag New York Inc. United States
Number of pages
451
Condition
New
Number of Pages
430
Place of Publication
New York, United States
ISBN
9781489986368
SKU
V9781489986368
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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