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Multivariate statistical methods in quality management /
Annotation UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLS There's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- "Multivariate Statistical Methods in Quality Management teaches power...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, N.Y. :
McGraw-Hill Education,
[2004]
|
| Edición: | First edition. |
| Colección: | McGraw-Hill's AccessEngineering.
|
| Temas: | |
| Acceso en línea: | Texto completo |
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| 010 | |z 2003066522 | ||
| 020 | |a 0071432086 (print-ISBN) | ||
| 020 | |a 0071455671 | ||
| 020 | |a 9780071432085 | ||
| 035 | |a (OCoLC)236337829 | ||
| 040 | |a IN-ChSCO |b eng |e rda | ||
| 041 | 0 | |a eng | |
| 050 | 4 | |a TS156 | |
| 082 | 0 | 4 | |a 658.5/62 |2 22 |
| 100 | 1 | |a Yang, Kai., |e author. | |
| 245 | 1 | 0 | |a Multivariate statistical methods in quality management / |c Kai Yang, Jayant Trewn. |
| 250 | |a First edition. | ||
| 264 | 1 | |a New York, N.Y. : |b McGraw-Hill Education, |c [2004] | |
| 264 | 4 | |c ?2004 | |
| 300 | |a 1 online resource (xvi, 299 pages) : |b illustrations. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a McGraw-Hill's AccessEngineering | |
| 500 | |a Print version c2004. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Multivariate Statistical Methods and Quality -- Overview of Multivariate Statistical Methods -- Graphical multivariate data display and data stratification -- Multivariate normal distribution and multivariate sampling distribution -- Multivariate analysis of variance -- Principal component analysis and factor analysis -- Discriminant analysis -- Cluster analysis -- Mahalanobis Taguchi system (MTS) -- Path analysis and structural model -- Multivariate process control -- Applications of Multivariate Statistical Methods in Business and Industry -- Data mining -- Chemometrics -- Other applications -- Overview of Quality Assurance and Possible Roles of Multivariate Statistical Methods -- Stage 0: Impetus/ideation -- Stage 1: Customer and business requirements study -- Stage 2: Concept development -- Stage 3: Product/service design/prototyping -- Stage 4: Manufacturing process preparation/product launch -- Stage 5: Production -- Stage 6: Product/service consumption -- Stage 7: Disposal -- Overview of Six Sigma and Possible Roles of Multivariate Statistical Methods -- Stage 1: Define the project and customer requirements (D or define step) -- Stage 2: Measuring process performance -- Stage 3: Analyze data and discover causes of the problem -- Stage 4: Improve the process -- Stage 5: Control the process -- Graphical Multivariate Data Display and Data Stratification -- Graphical Templates for Multivariate Data -- Charts and graphs -- Templates for displaying multivariate data -- Data Visualization and Animation. | |
| 520 | 0 | |a Annotation UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLS There's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- "Multivariate Statistical Methods in Quality Management teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications. Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to: *Choose the best method for each data set * Make complex data intelligible with graphical tools * Coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification * Perform data reduction with principal component analysis, factor analysis, and discriminant analysis * Apply multivariate methods in Six Sigma enterprises * Get clarification from case studies, models, and 50 illustrations * Uncover the source of problems and pinpoint solutions in arenas from manufacturing processes to sales performance and beyond. Annotation Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods. | |
| 530 | |a Also available in print edition. | ||
| 533 | |a Electronic reproduction. |b New York, N.Y. : |c McGraw Hill, |d 2004. |n Mode of access: World Wide Web. |n System requirements: Web browser. |n Access may be restricted to users at subscribing institutions. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 545 | 0 | |a Contributor biographical information: |u http://www.loc.gov/catdir/bios/mh042/2003066522.html | |
| 546 | |a In English. | ||
| 588 | |a Description based on cover image and table of contents, viewed on April 26, 2007. | ||
| 650 | 0 | |a Quality control |x Statistical methods. | |
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 0 | |a Multidimensional scaling |x Graphic methods. | |
| 650 | 0 | |a Random variables. | |
| 650 | 0 | |a Principal components analysis. | |
| 650 | 0 | |a Factor analysis. | |
| 650 | 0 | |a Discriminant analysis. | |
| 650 | 0 | |a Cluster analysis. | |
| 650 | 0 | |a Quality control. | |
| 650 | 0 | |a Reliability (Engineering) | |
| 650 | 0 | |a Taguchi methods (Quality control) | |
| 650 | 0 | |a Critical path analysis. | |
| 650 | 0 | |a Process control |x Statistical methods. | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Trewn, Jayant. | |
| 740 | 0 | 2 | |a Multivariate statistical methods and quality. |
| 740 | 0 | 2 | |a Graphical multivariate data display and data stratification. |
| 740 | 0 | 2 | |a Introduction to multivariate random variables, normal distribution, and sampling properties. |
| 740 | 0 | 2 | |a Multivariate analysis of variance. |
| 740 | 0 | 2 | |a Principal component analysis and factor analysis. |
| 740 | 0 | 2 | |a Discriminant analysis. |
| 740 | 0 | 2 | |a Cluster analysis. |
| 740 | 0 | 2 | |a Mahalanobis distance and taguchi method. |
| 740 | 0 | 2 | |a Path analysis and the structural model. |
| 740 | 0 | 2 | |a Multivariate statistical process control. |
| 776 | 0 | |i Print version: |t Multivariate statistical methods in quality management. |b First edition. |d New York, N.Y. : McGraw-Hill Education, 2004 |w (OCoLC)53276763 | |
| 830 | 0 | |a McGraw-Hill's AccessEngineering. | |
| 856 | 4 | 0 | |u https://accessengineeringlibrary.uam.elogim.com/content/book/9780071432085 |z Texto completo |
| 997 | |a (c)2007 Cassidy Cataloguing Services, Inc. | ||