Applied Data Analysis and Modeling for Energy Engineers and Scientists

T. Agami Reddy

ISBN 10: 1441996125 / ISBN 13: 9781441996121

Verlag: Springer US Aug 2011, 2011

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 456 pp. Englisch.

Bestandsnummer des Verkäufers 9781441996121

Bibliografische Details

• Titel: Applied Data Analysis and Modeling for Energy Engineers and Scientists
• Verlag: Springer US Aug 2011
• Erscheinungsjahr: 2011
• Sprache: Englisch
• ISBN-10: 1441996125
• ISBN-13: 9781441996121
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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 authors own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the processesalong 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.