Statistical Practice in Business and Industry
(Sprache: Englisch)
This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro electronics, chemical,...
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This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics.
Klappentext zu „Statistical Practice in Business and Industry “
Statistical methods are applied widely in industry, particularly in manufacturing processes, to provide authoritative methods for quality control and thus improve productivity and efficiency. The various methods range from graphical approaches to generalised modelling, and from designed experiments to process control. Statistical Practice in Business and Industry presents the latest advances in the application of statistical and optimisation methods within modern industry, alongside more established methods. Methods are demonstrated across a wide range of real-life applications from fields including finance, e-commerce, micro-electronics, chemical and automotive engineering, component assembly, household goods and plastics manufacturing. Each topic is investigated by an expert in that field, facilitating a comprehensive understanding of how statistical methods benefit business and industry.The book:
* Provides comprehensive coverage of the essential statistical methods applied in industry.
* Presents user-friendly practical guidance on the applications of the methods.
* Adopts a graphical approach, helping the non-statistician to fully understand the methods.
* Features problem solving strategies for all aspects of business, from product and process design, through to packaging and delivery, dealing with single and multivariate problems.
* Includes a review of available software and references to further reading.
The lucid style of Statistical Practice in Business and Industry makes this an invaluable text for anyone working in industry and employing statistical methods in their work. It also makes ideal supplementary reading for students of engineering and statistics.
Statistical methods are applied widely in industry, particularly in manufacturing processes, to provide authoritative methods for quality control and thus improve productivity and efficiency. The various methods range from graphical approaches to generalised modelling, and from designed experiments to process control. Statistical Practice in Business and Industry presents the latest advances in the application of statistical and optimisation methods within modern industry, alongside more established methods. Methods are demonstrated across a wide range of real-life applications from fields including finance, e-commerce, micro-electronics, chemical and automotive engineering, component assembly, household goods and plastics manufacturing. Each topic is investigated by an expert in that field, facilitating a comprehensive understanding of how statistical methods benefit business and industry.
The book:
- Provides comprehensive coverage of the essential statistical methods applied in industry.
- Presents user-friendly practical guidance on the applications of the methods.
- Adopts a graphical approach, helping the non-statistician to fully understand the methods.
- Features problem solving strategies for all aspects of business, from product and process design, through to packaging and delivery, dealing with single and multivariate problems.
- Includes a review of available software and references to further reading.
The lucid style of Statistical Practice in Business and Industry makes this an invaluable text for anyone working in industry and employing statistical methods in their work. It also makes ideal supplementary reading for students of engineering and statistics.
The book:
- Provides comprehensive coverage of the essential statistical methods applied in industry.
- Presents user-friendly practical guidance on the applications of the methods.
- Adopts a graphical approach, helping the non-statistician to fully understand the methods.
- Features problem solving strategies for all aspects of business, from product and process design, through to packaging and delivery, dealing with single and multivariate problems.
- Includes a review of available software and references to further reading.
The lucid style of Statistical Practice in Business and Industry makes this an invaluable text for anyone working in industry and employing statistical methods in their work. It also makes ideal supplementary reading for students of engineering and statistics.
Inhaltsverzeichnis zu „Statistical Practice in Business and Industry “
1. Introduction (S.Y.Coleman, Tony Fouweather and D.J.Stewardson)2. History (Jeroen de Mast)
3. Statisticians in industry (Roland Caulcutt)
4. Statistical Efficiency (Kennett et al.)
5. Management Statistics (Irena Ograjensek)
6. Service Quality (Irena Ograjensek)
7. DoE (Timothy J. Robinson)
8. Data mining (Paola Cerchiello, Silvia Figini and Paolo Giudici)
9. SPC (Don Wheeler)
10. Advanced SPC (Murat Kulahci and Connie M. Borror)
11. MSA (Raffaello Levi, Giulio barbato and Grazia vicario)
12. Reliability (Maria Ramalhoto Christopher McCollin)
13. Multivariate (Marco P. Seabra dos Reis and Pedro M. Saraiva
14. Simulation (Fabrizio Ruggeri, David Rios Insua, Jorge Muruzabal, Jesus Palomo, Julio Holgado and Raul Moreno)
15. Communication (Tony Greenfield andJohn Logsdon)
Bibliographische Angaben
- Autoren: Shirley Coleman , David Stewardson , Douglas C. Montgomery
- 2008, 1. Auflage, 448 Seiten, Maße: 22,9 cm, Gebunden, Englisch
- Herausgegeben: Shirley Coleman, Tony Greenfield, Dave Stewardson, Douglas C. Montgomery
- Verlag: Wiley & Sons
- ISBN-10: 0470014970
- ISBN-13: 9780470014974
- Erscheinungsdatum: 05.08.2008
Sprache:
Englisch
Pressezitat
"The book can be recommended to any interested in the application of statistical methods in business." ( Statistical Papers , 6 July 2011)
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