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Validity & social experimentation : Donald Campbell's legay . Volume 1 / / Leonard Bickman, editor
| Validity & social experimentation : Donald Campbell's legay . Volume 1 / / Leonard Bickman, editor |
| Pubbl/distr/stampa | Thousand Oaks : , : Sage Publications, Incorporated, , [2001] |
| Descrizione fisica | 1 online resource (333 p.) |
| Disciplina | 301/.07/24 |
| Collana | Social research methods |
| Soggetto topico |
Social sciences - Research - Methodology
Evaluation research (Social action programs) Experimental design |
| ISBN | 1-4522-5193-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Introduction; PART I - Validity Issues; Chapter 1 - Toward a Practical Theory of External Validity; Chapter 2 - Validity Applied to Meta-Analysis and Research Synthesis; Chapter 3 - Discriminative Validity; Chapter 4 - Statistical Conclusion Validity for Intervention Research: A Significant (p <.05) Problem; Chapter 5 - Effect Sizes in Behavioral and Biomedical Research: Estimation and Interpretation; Chapter 6 - Realism,Validity, and the Experimenting Society; PART II - Social Experiments; Chapter 7 - Toward the Dream of the Experimenting Society
Chapter 8 - The Honestly Experimental Society: Sites and Other Entities as the Units of Allocation and Analysis in Randomized TrialsChapter 9 - Rival Explanations as an Alternative to Reforms as ""Experiments""; Chapter 10 - Donald T. Campbell and the Art of Practical ""In-the-Trenches"" Program Evaluation; Chapter 11 - The Experimenting Society in a Political World; Index; About the Editor; About the Contributors |
| Altri titoli varianti | Validity and social experimentation |
| Record Nr. | UNINA-9910791724003321 |
| Thousand Oaks : , : Sage Publications, Incorporated, , [2001] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Validity & social experimentation : Donald Campbell's legay . Volume 1 / / Leonard Bickman, editor
| Validity & social experimentation : Donald Campbell's legay . Volume 1 / / Leonard Bickman, editor |
| Pubbl/distr/stampa | Thousand Oaks : , : Sage Publications, Incorporated, , [2001] |
| Descrizione fisica | 1 online resource (333 p.) |
| Disciplina | 301/.07/24 |
| Collana | Social research methods |
| Soggetto topico |
Social sciences - Research - Methodology
Evaluation research (Social action programs) Experimental design |
| ISBN | 1-4522-5193-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Introduction; PART I - Validity Issues; Chapter 1 - Toward a Practical Theory of External Validity; Chapter 2 - Validity Applied to Meta-Analysis and Research Synthesis; Chapter 3 - Discriminative Validity; Chapter 4 - Statistical Conclusion Validity for Intervention Research: A Significant (p <.05) Problem; Chapter 5 - Effect Sizes in Behavioral and Biomedical Research: Estimation and Interpretation; Chapter 6 - Realism,Validity, and the Experimenting Society; PART II - Social Experiments; Chapter 7 - Toward the Dream of the Experimenting Society
Chapter 8 - The Honestly Experimental Society: Sites and Other Entities as the Units of Allocation and Analysis in Randomized TrialsChapter 9 - Rival Explanations as an Alternative to Reforms as ""Experiments""; Chapter 10 - Donald T. Campbell and the Art of Practical ""In-the-Trenches"" Program Evaluation; Chapter 11 - The Experimenting Society in a Political World; Index; About the Editor; About the Contributors |
| Altri titoli varianti | Validity and social experimentation |
| Record Nr. | UNINA-9910813806603321 |
| Thousand Oaks : , : Sage Publications, Incorporated, , [2001] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The variable mind? : how apparently inconsistent effects might inform model building / / topic editors, Simona Amenta, University of Trento, Italy, Davide Crepaldi, International School for Advanced Studies & Milan Center for Neuroscience, Italy
| The variable mind? : how apparently inconsistent effects might inform model building / / topic editors, Simona Amenta, University of Trento, Italy, Davide Crepaldi, International School for Advanced Studies & Milan Center for Neuroscience, Italy |
| Pubbl/distr/stampa | Frontiers Media SA, 2016 |
| Descrizione fisica | 1 electronic resource (135 p.) |
| Disciplina | 612.8/233 |
| Altri autori (Persone) | CrepaldiDavide <1979-> |
| Collana | Frontiers Research Topics |
| Soggetto topico |
Cognition
Context effects (Psychology) Experimental design |
| Soggetto non controllato |
context effects
cross-language variability Experimental variability Task Effects bilingualism individual differences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Editorial: The Variable Mind? How Apparently Inconsistent Effects Might Inform Model Building / Simona Amenta and Davide Crepaldi -- Framing effects reveal discrete lexical-semantic and sublexical procedures in reading: an fMRI study / Laura Danelli, Marco Marelli, Manuela Berlingeri, Marco Tettamanti, Maurizio Sberna, Eraldo Paulesu and Claudio Luzzatti -- Item parameters dissociate between expectation formats: a regression analysis of time-frequency decomposed EEG data / Irene F. Monsalve, Alejandro Pérez and Nicola Molinaro -- How language affects children's use of derivational morphology in visual word and pseudoword processing: evidence from a cross-language study / Séverine Casalis, Pauline Quémart and Lynne G. Duncan -- Does the mean adequately represent reading performance? Evidence from a cross-linguistic study / Chiara V. Marinelli, Joanna K. Horne, Sarah P. McGeown, Pierluigi Zoccolotti and Marialuisa Martelli -- List context effects in languages with opaque and transparent orthographies: a challenge for models of reading / Daniela Traficante and Cristina Burani -- An ERP study of effects of regularity and consistency in delayed naming and lexicality judgment in a logographic writing system / Yen Na Yum, Sam-Po Law, I-Fan Su, Kai-Yan Dustin Lau and Kwan Nok Mo -- Measuring inconsistencies can lead you forward: Imageability and the x-ception theory / Sara Dellantonio, Claudio Mulatti, Luigi Pastore and Remo Job -- Hierarchical clustering analysis of reading aloud data: a new technique for evaluating the performance of computational models / Serje Robidoux and Stephen C. Pritchard -- Relative clause reading in hearing impairment: different profiles of syntactic impairment / Ronit Szterman and Naama Friedmann -- Colors, colored overlays, and reading skills Arcangelo Uccula, Mauro Enna and Claudio Mulatti -- Is there a bilingual advantage in the ANT task? Evidence from children / Eneko Antón, Jon A. Duñabeitia, Adelina Estévez, Juan A. Hernández, Alejandro Castillo, Luis J. Fuentes, Douglas J. Davidson and Manuel Carreiras. |
| Record Nr. | UNINA-9910166647203321 |
| Frontiers Media SA, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Variations on split plot and split block experiment designs [[electronic resource] /] / Walter T. Federer, Freedom King
| Variations on split plot and split block experiment designs [[electronic resource] /] / Walter T. Federer, Freedom King |
| Autore | Federer Walter Theodore <1915-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2007 |
| Descrizione fisica | 1 online resource (286 p.) |
| Disciplina |
519.5
519.57 |
| Altri autori (Persone) | KingFreedom <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Experimental design
Blocks (Group theory) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-72186-3
9786610721863 0-470-10858-4 0-470-10857-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Variations on Split Plot and Split Block Experiment Designs; Contents; Preface; Chapter 1. The standard split plot experiment design; 1.1. Introduction; 1.2. Statistical design; 1.3. Examples of split-plot-designed experiments; 1.4. Analysis of variance; 1.5. F-tests; 1.6. Standard errors for means and differences between means; 1.7. Numerical examples; 1.8. Multiple comparisons of means; 1.9. One replicate of a split plot experiment design and missing observations; 1.10. Nature of experimental variation; 1.11. Repeated measures experiments; 1.12. Precision of contrasts; 1.13. Problems
1.14. ReferencesAppendix 1.1. Example 1.1 code; Appendix 1.2. Example 1.2 code; Chapter 2. Standard split block experiment design; 2.1. Introduction; 2.2. Examples; 2.3. Analysis of variance; 2.4. F-tests; 2.5. Standard errors for contrasts of effects; 2.6. Numerical examples; 2.7. Multiple comparisons; 2.8. One replicate of a split block design; 2.9. Precision; 2.10. Comments; 2.11. Problems; 2.12. References; Appendix 2.1. Example 2.1 code; Appendix 2.2. Example 2.2 code; Appendix 2.3. Problems 2.1 and 2.2 data; Chapter 3. Variations of the split plot experiment design; 3.1. Introduction 3.2. Split split plot experiment design3.3. Split split split plot experiment design; 3.4. Whole plots not in a factorial arrangement; 3.5. Split plot treatments in an incomplete block experiment design within each whole plot; 3.6. Split plot treatments in a row-column arrangement within each whole plot treatment and in different whole plot treatments; 3.7. Whole plots in a systematic arrangement; 3.8. Split plots in a systematic arrangement; 3.9. Characters or responses as split plot treatments; 3.10. Observational or experimental error? 3.11. Time as a discrete factor rather than as a continuous factor3.12. Inappropriate model?; 3.13. Complete confounding of some effects and split plot experiment designs; 3.14. Comments; 3.15. Problems; 3.16. References; Appendix 3.1. Table 3.1 code and data; Chapter 4. Variations of the split block experiment design; 4.1. Introduction; 4.2. One set of treatments in a randomized complete block and the other in a Latin square experiment design; 4.3. Both sets of treatments in split block arrangements; 4.4. Split block split block or strip strip block experiment design 4.5. One set of treatments in an incomplete block design and the second set in a randomized complete block design4.6. An experiment design split blocked across the entire experiment; 4.7. Confounding in a factorial treatment design and in a split block experiment design; 4.8. Split block experiment design with a control; 4.9. Comments; 4.10. Problems; 4.11. References; Appendix 4.1. Example 4.1 code; Chapter 5. Combinations of SPEDs and SBEDs; 5.1. Introduction; 5.2. Factors A and B in a split block experiment design and factor C in a split plot arrangement to factors A and B 5.3. Factor A treatments are the whole plot treatments and factors B and C treatments are in a split block arrangement within each whole plot |
| Record Nr. | UNINA-9910143685403321 |
Federer Walter Theodore <1915->
|
||
| Hoboken, N.J., : Wiley-Interscience, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Variations on split plot and split block experiment designs [[electronic resource] /] / Walter T. Federer, Freedom King
| Variations on split plot and split block experiment designs [[electronic resource] /] / Walter T. Federer, Freedom King |
| Autore | Federer Walter Theodore <1915-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2007 |
| Descrizione fisica | 1 online resource (286 p.) |
| Disciplina |
519.5
519.57 |
| Altri autori (Persone) | KingFreedom <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Experimental design
Blocks (Group theory) |
| ISBN |
1-280-72186-3
9786610721863 0-470-10858-4 0-470-10857-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Variations on Split Plot and Split Block Experiment Designs; Contents; Preface; Chapter 1. The standard split plot experiment design; 1.1. Introduction; 1.2. Statistical design; 1.3. Examples of split-plot-designed experiments; 1.4. Analysis of variance; 1.5. F-tests; 1.6. Standard errors for means and differences between means; 1.7. Numerical examples; 1.8. Multiple comparisons of means; 1.9. One replicate of a split plot experiment design and missing observations; 1.10. Nature of experimental variation; 1.11. Repeated measures experiments; 1.12. Precision of contrasts; 1.13. Problems
1.14. ReferencesAppendix 1.1. Example 1.1 code; Appendix 1.2. Example 1.2 code; Chapter 2. Standard split block experiment design; 2.1. Introduction; 2.2. Examples; 2.3. Analysis of variance; 2.4. F-tests; 2.5. Standard errors for contrasts of effects; 2.6. Numerical examples; 2.7. Multiple comparisons; 2.8. One replicate of a split block design; 2.9. Precision; 2.10. Comments; 2.11. Problems; 2.12. References; Appendix 2.1. Example 2.1 code; Appendix 2.2. Example 2.2 code; Appendix 2.3. Problems 2.1 and 2.2 data; Chapter 3. Variations of the split plot experiment design; 3.1. Introduction 3.2. Split split plot experiment design3.3. Split split split plot experiment design; 3.4. Whole plots not in a factorial arrangement; 3.5. Split plot treatments in an incomplete block experiment design within each whole plot; 3.6. Split plot treatments in a row-column arrangement within each whole plot treatment and in different whole plot treatments; 3.7. Whole plots in a systematic arrangement; 3.8. Split plots in a systematic arrangement; 3.9. Characters or responses as split plot treatments; 3.10. Observational or experimental error? 3.11. Time as a discrete factor rather than as a continuous factor3.12. Inappropriate model?; 3.13. Complete confounding of some effects and split plot experiment designs; 3.14. Comments; 3.15. Problems; 3.16. References; Appendix 3.1. Table 3.1 code and data; Chapter 4. Variations of the split block experiment design; 4.1. Introduction; 4.2. One set of treatments in a randomized complete block and the other in a Latin square experiment design; 4.3. Both sets of treatments in split block arrangements; 4.4. Split block split block or strip strip block experiment design 4.5. One set of treatments in an incomplete block design and the second set in a randomized complete block design4.6. An experiment design split blocked across the entire experiment; 4.7. Confounding in a factorial treatment design and in a split block experiment design; 4.8. Split block experiment design with a control; 4.9. Comments; 4.10. Problems; 4.11. References; Appendix 4.1. Example 4.1 code; Chapter 5. Combinations of SPEDs and SBEDs; 5.1. Introduction; 5.2. Factors A and B in a split block experiment design and factor C in a split plot arrangement to factors A and B 5.3. Factor A treatments are the whole plot treatments and factors B and C treatments are in a split block arrangement within each whole plot |
| Record Nr. | UNINA-9910830493103321 |
|
Federer Walter Theodore <1915->
|
||
| Hoboken, N.J., : Wiley-Interscience, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Variations on split plot and split block experiment designs [[electronic resource] /] / Walter T. Federer, Freedom King
| Variations on split plot and split block experiment designs [[electronic resource] /] / Walter T. Federer, Freedom King |
| Autore | Federer Walter Theodore <1915-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2007 |
| Descrizione fisica | 1 online resource (286 p.) |
| Disciplina |
519.5
519.57 |
| Altri autori (Persone) | KingFreedom <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Experimental design
Blocks (Group theory) |
| ISBN |
1-280-72186-3
9786610721863 0-470-10858-4 0-470-10857-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Variations on Split Plot and Split Block Experiment Designs; Contents; Preface; Chapter 1. The standard split plot experiment design; 1.1. Introduction; 1.2. Statistical design; 1.3. Examples of split-plot-designed experiments; 1.4. Analysis of variance; 1.5. F-tests; 1.6. Standard errors for means and differences between means; 1.7. Numerical examples; 1.8. Multiple comparisons of means; 1.9. One replicate of a split plot experiment design and missing observations; 1.10. Nature of experimental variation; 1.11. Repeated measures experiments; 1.12. Precision of contrasts; 1.13. Problems
1.14. ReferencesAppendix 1.1. Example 1.1 code; Appendix 1.2. Example 1.2 code; Chapter 2. Standard split block experiment design; 2.1. Introduction; 2.2. Examples; 2.3. Analysis of variance; 2.4. F-tests; 2.5. Standard errors for contrasts of effects; 2.6. Numerical examples; 2.7. Multiple comparisons; 2.8. One replicate of a split block design; 2.9. Precision; 2.10. Comments; 2.11. Problems; 2.12. References; Appendix 2.1. Example 2.1 code; Appendix 2.2. Example 2.2 code; Appendix 2.3. Problems 2.1 and 2.2 data; Chapter 3. Variations of the split plot experiment design; 3.1. Introduction 3.2. Split split plot experiment design3.3. Split split split plot experiment design; 3.4. Whole plots not in a factorial arrangement; 3.5. Split plot treatments in an incomplete block experiment design within each whole plot; 3.6. Split plot treatments in a row-column arrangement within each whole plot treatment and in different whole plot treatments; 3.7. Whole plots in a systematic arrangement; 3.8. Split plots in a systematic arrangement; 3.9. Characters or responses as split plot treatments; 3.10. Observational or experimental error? 3.11. Time as a discrete factor rather than as a continuous factor3.12. Inappropriate model?; 3.13. Complete confounding of some effects and split plot experiment designs; 3.14. Comments; 3.15. Problems; 3.16. References; Appendix 3.1. Table 3.1 code and data; Chapter 4. Variations of the split block experiment design; 4.1. Introduction; 4.2. One set of treatments in a randomized complete block and the other in a Latin square experiment design; 4.3. Both sets of treatments in split block arrangements; 4.4. Split block split block or strip strip block experiment design 4.5. One set of treatments in an incomplete block design and the second set in a randomized complete block design4.6. An experiment design split blocked across the entire experiment; 4.7. Confounding in a factorial treatment design and in a split block experiment design; 4.8. Split block experiment design with a control; 4.9. Comments; 4.10. Problems; 4.11. References; Appendix 4.1. Example 4.1 code; Chapter 5. Combinations of SPEDs and SBEDs; 5.1. Introduction; 5.2. Factors A and B in a split block experiment design and factor C in a split plot arrangement to factors A and B 5.3. Factor A treatments are the whole plot treatments and factors B and C treatments are in a split block arrangement within each whole plot |
| Record Nr. | UNINA-9910840523703321 |
|
Federer Walter Theodore <1915->
|
||
| Hoboken, N.J., : Wiley-Interscience, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
World class quality [[electronic resource] ] : using design of experiments to make it happen / / Keki R. Bhote, Adi K. Bhote
| World class quality [[electronic resource] ] : using design of experiments to make it happen / / Keki R. Bhote, Adi K. Bhote |
| Autore | Bhote Keki R. <1925-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York, : American Management Association, 2000 |
| Descrizione fisica | 1 online resource (512 p.) |
| Disciplina | 658.5/62 |
| Altri autori (Persone) | BhoteAdi K |
| Soggetto topico |
Quality control - Statistical methods
Process control - Statistical methods Experimental design |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-8144-2642-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preliminaries; Contents; List of Tables; Preface to the Second Edition; Acknowledgments; 1. The Need for and Objectives and Benefits of Design of Experiments; 2. Fads, Potions, Nostrums of the Quality; 3. A Powerful Tool Kit for the 21st Century; 4. The Measurement of Process Capability; 5. Variation: An Industrial Epidemic; 6. The Three Approaches to DOE; 7. A Synopsis of the 10 Powerful DOE Tools; 8. The Multi-Vari Analysis; 9. The Concentration Chart; 10. Components Search; 11. Paired Comparisons; 12. Product/Process Search; 13. Variables Search; 14. The Full Factorial; 15. B versus C
16. Scatter Plots to Achieve Realistic Specifications and Tolerances17. Response Surface Methodology (RSM); 18. Positrol: Freezing Process Gains; 19. Process Certification; 20. Control Charts; 21. Pre-Control; 22. Multiple Environment Over Stress Tests; 23. Case Studies in Sequential DOE Tools to Solve Chronic Problems; 24. Learning by Doing; References; Index |
| Record Nr. | UNINA-9910454423803321 |
|
Bhote Keki R. <1925->
|
||
| New York, : American Management Association, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
World class quality [[electronic resource] ] : using design of experiments to make it happen / / Keki R. Bhote, Adi K. Bhote
| World class quality [[electronic resource] ] : using design of experiments to make it happen / / Keki R. Bhote, Adi K. Bhote |
| Autore | Bhote Keki R. <1925-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York, : American Management Association, 2000 |
| Descrizione fisica | 1 online resource (512 p.) |
| Disciplina | 658.5/62 |
| Altri autori (Persone) | BhoteAdi K |
| Soggetto topico |
Quality control - Statistical methods
Process control - Statistical methods Experimental design |
| ISBN | 0-8144-2642-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preliminaries; Contents; List of Tables; Preface to the Second Edition; Acknowledgments; 1. The Need for and Objectives and Benefits of Design of Experiments; 2. Fads, Potions, Nostrums of the Quality; 3. A Powerful Tool Kit for the 21st Century; 4. The Measurement of Process Capability; 5. Variation: An Industrial Epidemic; 6. The Three Approaches to DOE; 7. A Synopsis of the 10 Powerful DOE Tools; 8. The Multi-Vari Analysis; 9. The Concentration Chart; 10. Components Search; 11. Paired Comparisons; 12. Product/Process Search; 13. Variables Search; 14. The Full Factorial; 15. B versus C
16. Scatter Plots to Achieve Realistic Specifications and Tolerances17. Response Surface Methodology (RSM); 18. Positrol: Freezing Process Gains; 19. Process Certification; 20. Control Charts; 21. Pre-Control; 22. Multiple Environment Over Stress Tests; 23. Case Studies in Sequential DOE Tools to Solve Chronic Problems; 24. Learning by Doing; References; Index |
| Record Nr. | UNINA-9910782833503321 |
|
Bhote Keki R. <1925->
|
||
| New York, : American Management Association, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
World class quality [[electronic resource] ] : using design of experiments to make it happen / / Keki R. Bhote, Adi K. Bhote
| World class quality [[electronic resource] ] : using design of experiments to make it happen / / Keki R. Bhote, Adi K. Bhote |
| Autore | Bhote Keki R. <1925-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York, : American Management Association, 2000 |
| Descrizione fisica | 1 online resource (512 p.) |
| Disciplina | 658.5/62 |
| Altri autori (Persone) | BhoteAdi K |
| Soggetto topico |
Quality control - Statistical methods
Process control - Statistical methods Experimental design |
| ISBN | 0-8144-2642-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preliminaries; Contents; List of Tables; Preface to the Second Edition; Acknowledgments; 1. The Need for and Objectives and Benefits of Design of Experiments; 2. Fads, Potions, Nostrums of the Quality; 3. A Powerful Tool Kit for the 21st Century; 4. The Measurement of Process Capability; 5. Variation: An Industrial Epidemic; 6. The Three Approaches to DOE; 7. A Synopsis of the 10 Powerful DOE Tools; 8. The Multi-Vari Analysis; 9. The Concentration Chart; 10. Components Search; 11. Paired Comparisons; 12. Product/Process Search; 13. Variables Search; 14. The Full Factorial; 15. B versus C
16. Scatter Plots to Achieve Realistic Specifications and Tolerances17. Response Surface Methodology (RSM); 18. Positrol: Freezing Process Gains; 19. Process Certification; 20. Control Charts; 21. Pre-Control; 22. Multiple Environment Over Stress Tests; 23. Case Studies in Sequential DOE Tools to Solve Chronic Problems; 24. Learning by Doing; References; Index |
| Record Nr. | UNINA-9910818904803321 |
|
Bhote Keki R. <1925->
|
||
| New York, : American Management Association, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
