Applied Data Analysis and Modeling for Energy Engineers and Scientists

Authors: Reddy, T. Agami

  • Offers descriptions of numerous data analysis techniques, including but not limited to exploratory data analysis, estimation and model building, inferential methods and data compaction
  • Utilizes an effective combination of classical methods with the more recently developed machine learning and automated tools which have become more prevalent in recent years
  •  Discusses data analysis and modeling issues that are relevant to thermal energy systems, building energy systems, renewable energy systems, energy efficiency, indoor air quality, and environmental engineering
see more benefits

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-1-4419-9613-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-1-4419-9612-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4899-8636-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

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.

 

Table of contents (13 chapters)

  • Mathematical Models and Data Analysis

    Agami Reddy, T.

    Pages 1-25

  • Probability Concepts and Probability Distributions

    Agami Reddy, T.

    Pages 27-60

  • Data Collection and Preliminary Data Analysis

    Agami Reddy, T.

    Pages 61-101

  • Making Statistical Inferences from Samples

    Agami Reddy, T.

    Pages 103-140

  • Estimation of Linear Model Parameters Using Least Squares

    Agami Reddy, T.

    Pages 141-182

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-1-4419-9613-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-1-4419-9612-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4899-8636-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Applied Data Analysis and Modeling for Energy Engineers and Scientists
Authors
Copyright
2011
Publisher
Springer US
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-9613-8
DOI
10.1007/978-1-4419-9613-8
Hardcover ISBN
978-1-4419-9612-1
Softcover ISBN
978-1-4899-8636-8
Edition Number
1
Number of Pages
XXI, 430
Topics