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. --

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Bibliographic Details
Main Author: Rhinehart, R. Russell, 1946- (Author)
Format: eBook
Language: English
Published: Chichester, UK ; Hoboken, NJ : John Wiley & Sons, 2016.
Subjects:
ISBN: 9781118597972
1118597974
1118597966
9781118597965
9781118597934
1118597931
9781118597958
1118597958
Physical Description: 1 online resource

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Table of contents

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024 7 |a 10.1002/9781118597972  |2 doi 
035 |a (OCoLC)948670950  |z (OCoLC)957605126  |z (OCoLC)960833204  |z (OCoLC)961153508  |z (OCoLC)961828395  |z (OCoLC)1101727150  |z (OCoLC)1153496826 
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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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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 Knovel (All titles) 
650 0 |a Regression analysis  |x Mathematical models. 
650 0 |a Engineering  |x Mathematical models. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
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://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpNRMEAMMC/nonlinear-regression-modeling?kpromoter=marc  |y Full text