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 |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York, N.Y. :
McGraw-Hill Education,
[2004]
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Edición: | First edition. |
Colección: | McGraw-Hill's AccessEngineering.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.