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{ "item_title" : "Applied Data Analysis and Modeling for Energy Engineers and Scientists", "item_author" : [" T. Agami Reddy "], "item_description" : "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 processesalong with the tools.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/48/998/636/1489986367_b.jpg", "price_data" : { "retail_price" : "139.99", "online_price" : "139.99", "our_price" : "139.99", "club_price" : "139.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Applied Data Analysis and Modeling for Energy Engineers and Scientists|T. Agami Reddy

Applied Data Analysis and Modeling for Energy Engineers and Scientists

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781489986368
  • ISBN-10: 1489986367
  • Publisher: Springer
  • Publish Date: November 2014
  • Dimensions: 11 x 8.25 x 0.92 inches
  • Shipping Weight: 2.23 pounds
  • Page Count: 430

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