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Nonlinear regression modeling for engineering applications : modeling, model validation, and enabling design of experiments /
With a focus on practical applications, with relevant methods supported by fundamental analysis, this book details methods of nonlinear regression, computational algorithms, model validation, interpretation of residuals, and useful experimental design. --
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, UK ; Hoboken, NJ :
John Wiley & Sons,
2016.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Rhinehart, R. Russell, |d 1946- |e author. | |
| 245 | 1 | 0 | |a Nonlinear regression modeling for engineering applications : |b modeling, model validation, and enabling design of experiments / |c R. Russell Rhinehart. |
| 264 | 1 | |a Chichester, UK ; |a Hoboken, NJ : |b John Wiley & Sons, |c 2016. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 520 | |a With a focus on practical applications, with relevant methods supported by fundamental analysis, this book details methods of nonlinear regression, computational algorithms, model validation, interpretation of residuals, and useful experimental design. -- |c Edited summary from book. | ||
| 505 | 0 | |a 1 Introductory Concepts -- 2 Model Types -- 3 Propagation of Uncertainty -- 4 Essential Probability and Statistics -- 5 Simulation -- 6 Steady and Transient State Detection -- 7 Regression Target -- Objective Function -- 8 Constraints -- 9 The Distortion of Linearizing Transforms -- 10 Optimization Algorithms -- 11 Multiple Optima -- 12 Regression Convergence Criteria -- 13 Model Design -- Desired and Undesired Model Characteristics and Effects -- 14 Data Pre- and Post-processing -- 15 Incremental Model Adjustment -- 16 Model and Experimental Validation -- 17 Model Prediction Uncertainty -- 18 Design of Experiments for Model Development and Validation -- 19 Utility versus Perfection -- 20 Troubleshooting -- 21 Case Studies. | |
| 590 | |a Knovel |b ACADEMIC - General Engineering & Project Administration | ||
| 650 | 0 | |a Regression analysis |x Mathematical models. | |
| 650 | 0 | |a Engineering |x Mathematical models. | |
| 650 | 6 | |a Ingénierie |x Modèles mathématiques. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Engineering (General) |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Reference. |2 bisacsh | |
| 650 | 7 | |a Engineering |x Mathematical models. |2 fast |0 (OCoLC)fst00910373 | |
| 650 | 7 | |a Regression analysis |x Mathematical models. |2 fast |0 (OCoLC)fst01093277 | |
| 776 | 0 | 8 | |i Print version: |a Rhinehart, R. Russell, 1946- |t Nonlinear regression modeling for engineering applications. |d Chichester, UK ; Hoboken, NJ : John Wiley & Sons, 2016 |z 9781118597965 |w (DLC) 2016012932 |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpNRMEAMMC/toc |z Texto completo |
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