Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization.
First, we postulate a mechanism, then derive a model grounded in that mechanistic understanding. If the model does not fit the data, our understanding of the mechanism was wrong or incomplete. Patterns in the residuals can guide model improvement. Alternately, when the model fits the data, our understanding is sufficient and confidently functional for engineering applications.
This book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental design. The focus is on practical applications, with relevant methods supported by fundamental analysis.
This book will assist either the academic or industrial practitioner to properly classify the system, choose between the various available modeling options and regression objectives, design experiments to obtain data capturing critical system behaviors, fit the model parameters based on that data, and statistically characterize the resulting model. The author has used the material in the undergraduate unit operations lab course and in advanced control applications.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
R. Russell Rhinehart, Oklahoma State University, USA.
Professor Rhinehart obtained his Ph.D. in Chemical Engineering in 1985 from North Carolina State University, USA. His research interests include process improvement (modeling, optimization, and control), and product improvement (modeling and design). In 2004 he was named as one of InTECHs 50 most influential industry innovators of the past 50 years, and was inducted into the Automation Hall of Fame for the Process Industries in 2005. He has written extensively for numerous journals and refereed articles.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 19036349-n
Quantità: 4 disponibili
Da: INDOO, Avenel, NJ, U.S.A.
Condizione: New. Codice articolo 9781118597965
Quantità: Più di 20 disponibili
Da: Books Puddle, Woodside, NY, U.S.A.
Condizione: New. pp. 400. Codice articolo 26374684939
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 400. Codice articolo 371360468
Quantità: 1 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 19036349-n
Quantità: Più di 20 disponibili
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization. Series: Wiley-ASME Press Series. Num Pages: 400 pages. BIC Classification: PBWH; TG. Category: (P) Professional & Vocational. Dimension: 180 x 253 x 23. Weight in Grams: 760. . 2016. 1st Edition. Hardcover. . . . . Codice articolo V9781118597965
Quantità: 15 disponibili
Da: Ubiquity Trade, Miami, FL, U.S.A.
Condizione: New. Brand new! Please provide a physical shipping address. Codice articolo 9781118597965
Quantità: Più di 20 disponibili
Da: moluna, Greven, Germania
Gebunden. Condizione: New. R. Russell Rhinehart, Oklahoma State University, USA.Professor Rhinehart obtained his Ph.D. in Chemical Engineering in 1985 from North Carolina State University, USA. His research interests include process improvement (modeling, optimization, and control), . Codice articolo 556568492
Quantità: Più di 20 disponibili
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization. Series: Wiley-ASME Press Series. Num Pages: 400 pages. BIC Classification: PBWH; TG. Category: (P) Professional & Vocational. Dimension: 180 x 253 x 23. Weight in Grams: 760. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9781118597965
Quantità: 15 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 19036349
Quantità: Più di 20 disponibili