Quality Improvement with Design of Experiments: A Response Surface Approach
Residualplots 74 Normaland half-normal plots 77 2. 3. 10. TRANSFORMATIONS OF VARIABLES 80 2. 3. 11. WEIGHTED LEAST SQUARES 82 2. 4. Bibliography 84 Appendix A. 2. 1. Basic equation ofthe analysis ofvariance 84 Appendix A. 2. 2. Derivation of the simplified formulae (2. 1 0) and (2. 11) 85 Appendix A...
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Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Dordrecht
Springer Netherlands
2001
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Schriftenreihe: | Topics in Safety, Risk, Reliability and Quality
7 |
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext Inhaltsverzeichnis |
Zusammenfassung: | Residualplots 74 Normaland half-normal plots 77 2. 3. 10. TRANSFORMATIONS OF VARIABLES 80 2. 3. 11. WEIGHTED LEAST SQUARES 82 2. 4. Bibliography 84 Appendix A. 2. 1. Basic equation ofthe analysis ofvariance 84 Appendix A. 2. 2. Derivation of the simplified formulae (2. 1 0) and (2. 11) 85 Appendix A. 2. 3. Basic properties ofleast squares estimates 86 Appendix A. 2. 4. Sums ofsquares for tests for lack offit 88 Appendix A. 2. 5. Properties ofthe residuals 90 3. DESIGN OF REGRESSION EXPERIMENTS 96 3. 1. Introduction 96 3. 2. Variance-optimality of response surface designs 98 3. 3. Two Ievel full factorial designs 106 3. 3. 1. DEFINITIONS AND CONSTRUCTION 106 3. 3. 2. PROPERTIES OF TWO LEVEL FULL FACTORIAL DESIGNS 109 3. 3. 3. REGRESSION ANALYSIS OF DAT A OBT AlNED THROUGH TWO LEVEL FULL F ACTORIAL DESIGNS 113 Parameter estimation 113 Effects of factors and interactions 116 Statistical analysis of individual effects and test for lack of fit 118 3. 4. Two Ievel fractional factorial designs 123 3. 4. 1. CONSTRUCTION OF FRACTIONAL F ACTORIAL DESIGNS 123 3. 4. 2. FITTING EQUATIONS TO DATA OBTAlNED BY FRACTIONAL F ACTORIAL DESIGNS 130 3. 5. Bloclung 133 3. 6. Steepest ascent 135 3. 7. Second order designs 142 3. 7. 1. INTRODUCTION 142 3. 7. 2. COMPOSITE DESIGNS 144 Rotatable central composite designs 145 D-optimal composite designs 146 Hartley' s designs 146 3. 7. 3 |
Beschreibung: | 1 Online-Ressource (XVI, 508 p) |
ISBN: | 9789400900097 |
DOI: | 10.1007/978-94-009-0009-7 |
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Datensatz im Suchindex
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adam_text | 6 ZUM GELEIT
9 *EINE EINGEBUNG DES HEILIGEN GEISTES
14 DER BEGINN DER OEKUMENISCHEN BEWEGUNG
29 ROEMISCH-KATHOLISCHE REAKTIONEN AUF DIE
OEKUMENISCHE BEWEGUNG
40 OEKUMENISCHE WEICHENSTELLUNGEN FUER DAS KONZIL
46 KONZILSBERATER UND KONZILSBEOBACHTER
54 JOHANNES XXIII. UND KARDINAL KOENIG
66 PATRIARCH ATHENAGORAS UND KARDINAL KOENIG
89 PAUL VI. UND KARDINAL KOENIG
94 KARDINAL KOENIG UND DIE OEKUMENISCHE WENDE AUF
DEM ZWEITEN VATIKANISCHEN KONZIL
111 OEKUMENISCHE ERNTE: ORTHODOX-KATHOLISCHE
VERSOEHNUNG
115 OEKUMENISCHE PIONIERLEISTUNGEN: PRO ORIENTE
129 EIN VERMAECHTNIS
132 ANHANG
133 ANMERKUNGEN
13 7 PERSONEN
143 QUELLEN UND LITERATUR
HTTP://D-NB.INFO/1050948351
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author | Vuchkov, Ivan N. Boyadjieva, Lidia N. |
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series2 | Topics in Safety, Risk, Reliability and Quality |
spelling | Vuchkov, Ivan N. Verfasser aut Quality Improvement with Design of Experiments A Response Surface Approach by Ivan N. Vuchkov, Lidia N. Boyadjieva Dordrecht Springer Netherlands 2001 1 Online-Ressource (XVI, 508 p) txt rdacontent c rdamedia cr rdacarrier Topics in Safety, Risk, Reliability and Quality 7 Residualplots 74 Normaland half-normal plots 77 2. 3. 10. TRANSFORMATIONS OF VARIABLES 80 2. 3. 11. WEIGHTED LEAST SQUARES 82 2. 4. Bibliography 84 Appendix A. 2. 1. Basic equation ofthe analysis ofvariance 84 Appendix A. 2. 2. Derivation of the simplified formulae (2. 1 0) and (2. 11) 85 Appendix A. 2. 3. Basic properties ofleast squares estimates 86 Appendix A. 2. 4. Sums ofsquares for tests for lack offit 88 Appendix A. 2. 5. Properties ofthe residuals 90 3. DESIGN OF REGRESSION EXPERIMENTS 96 3. 1. Introduction 96 3. 2. Variance-optimality of response surface designs 98 3. 3. Two Ievel full factorial designs 106 3. 3. 1. DEFINITIONS AND CONSTRUCTION 106 3. 3. 2. PROPERTIES OF TWO LEVEL FULL FACTORIAL DESIGNS 109 3. 3. 3. REGRESSION ANALYSIS OF DAT A OBT AlNED THROUGH TWO LEVEL FULL F ACTORIAL DESIGNS 113 Parameter estimation 113 Effects of factors and interactions 116 Statistical analysis of individual effects and test for lack of fit 118 3. 4. Two Ievel fractional factorial designs 123 3. 4. 1. CONSTRUCTION OF FRACTIONAL F ACTORIAL DESIGNS 123 3. 4. 2. FITTING EQUATIONS TO DATA OBTAlNED BY FRACTIONAL F ACTORIAL DESIGNS 130 3. 5. Bloclung 133 3. 6. Steepest ascent 135 3. 7. Second order designs 142 3. 7. 1. INTRODUCTION 142 3. 7. 2. COMPOSITE DESIGNS 144 Rotatable central composite designs 145 D-optimal composite designs 146 Hartley' s designs 146 3. 7. 3 Mathematics Mathematical Modeling and Industrial Mathematics Applications of Mathematics Statistics, general Engineering Economics, Organization, Logistics, Marketing Optimization Quality Control, Reliability, Safety and Risk Applied mathematics Engineering mathematics Mathematical models Mathematical optimization Statistics Engineering economics Engineering economy Quality control Reliability Industrial safety Boyadjieva, Lidia N. aut Erscheint auch als Druck-Ausgabe 9781402003929 https://doi.org/10.1007/978-94-009-0009-7 Verlag URL des Erstveröffentlichers Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030539312&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Vuchkov, Ivan N. Boyadjieva, Lidia N. Quality Improvement with Design of Experiments A Response Surface Approach Mathematics Mathematical Modeling and Industrial Mathematics Applications of Mathematics Statistics, general Engineering Economics, Organization, Logistics, Marketing Optimization Quality Control, Reliability, Safety and Risk Applied mathematics Engineering mathematics Mathematical models Mathematical optimization Statistics Engineering economics Engineering economy Quality control Reliability Industrial safety |
title | Quality Improvement with Design of Experiments A Response Surface Approach |
title_auth | Quality Improvement with Design of Experiments A Response Surface Approach |
title_exact_search | Quality Improvement with Design of Experiments A Response Surface Approach |
title_full | Quality Improvement with Design of Experiments A Response Surface Approach by Ivan N. Vuchkov, Lidia N. Boyadjieva |
title_fullStr | Quality Improvement with Design of Experiments A Response Surface Approach by Ivan N. Vuchkov, Lidia N. Boyadjieva |
title_full_unstemmed | Quality Improvement with Design of Experiments A Response Surface Approach by Ivan N. Vuchkov, Lidia N. Boyadjieva |
title_short | Quality Improvement with Design of Experiments |
title_sort | quality improvement with design of experiments a response surface approach |
title_sub | A Response Surface Approach |
topic | Mathematics Mathematical Modeling and Industrial Mathematics Applications of Mathematics Statistics, general Engineering Economics, Organization, Logistics, Marketing Optimization Quality Control, Reliability, Safety and Risk Applied mathematics Engineering mathematics Mathematical models Mathematical optimization Statistics Engineering economics Engineering economy Quality control Reliability Industrial safety |
topic_facet | Mathematics Mathematical Modeling and Industrial Mathematics Applications of Mathematics Statistics, general Engineering Economics, Organization, Logistics, Marketing Optimization Quality Control, Reliability, Safety and Risk Applied mathematics Engineering mathematics Mathematical models Mathematical optimization Statistics Engineering economics Engineering economy Quality control Reliability Industrial safety |
url | https://doi.org/10.1007/978-94-009-0009-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030539312&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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