Isbn: 9781441996121 - applied data analysis and modeling for energy engineers and scientists (5 risultati)

Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condizione: Like New. Like New; Hardcover; This book is brand new and still sealed in the publisher's original shrinkwrap; One corner is slightly "bumped" through the plastic; This book will be stored and delivered in a sturdy cardboard box with foam padding; Large Format (Quatro, 10.75" - 11.75" tall); Red and blue covers with title in white lettering; 2011, Springer-Verlag Publishing; 430 pages; "Applied Data Analysis and Modeling for Energy Engineers and Scientists," by T. Agami Reddy. …

Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Buch. Condizione: Neu. 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.…