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. --
Saved in:
Main 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 |
LEADER | 03367cam a2200469 i 4500 | ||
---|---|---|---|
001 | kn-ocn948670950 | ||
003 | OCoLC | ||
005 | 20240717213016.0 | ||
006 | m o d | ||
007 | cr cn||||||||| | ||
008 | 160502s2016 enk ob 001 0 eng | ||
040 | |a DLC |b eng |e rda |e pn |c DLC |d OCLCF |d N$T |d YDXCP |d DG1 |d COO |d UIU |d YDX |d DG1 |d CCO |d MERUC |d LOA |d UPM |d COCUF |d DG1 |d K6U |d DEBSZ |d OCLCQ |d PIFAG |d FVL |d OTZ |d UAB |d MERER |d U3W |d OCLCQ |d D6H |d OCLCQ |d U3G |d WRM |d STF |d KSU |d INT |d OCLCQ |d TKN |d OCLCQ |d UX1 |d S9I |d OCLCQ |d UKCRE |d OCLCO |d OCLCQ |d OCLCO |d OCLCL | ||
020 | |a 9781118597972 |q (electronic bk.) | ||
020 | |a 1118597974 |q (electronic bk.) | ||
020 | |a 1118597966 |q (cloth) | ||
020 | |a 9781118597965 |q (cloth) | ||
020 | |z 9781118597934 | ||
020 | |z 1118597931 | ||
020 | |z 9781118597958 | ||
020 | |z 1118597958 | ||
020 | |z 9781118597965 |q (cloth) | ||
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 | ||
042 | |a pcc | ||
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 |