Statistics in Research and Development

This book covers experimental design and the more advanced techniques of data analysis which can be used to assess performance, to compare methods and to control quality. It is useful to anyone concerned with the development or the management of complex processes in any industry.

Inhaltsverzeichnis

1. What is statistics? 2. Describing the sample 3. Describing the population 4. Testing and estimation: One sample 5. Testing and estimation: Two samples 6. Testing and estimation: Qualitative data 7. Testing and estimation: Assumptions 8. Statistical process control 9. Detecting process changes 10. Investigating the process-an experiment 11. Why was the experiment not successful? 12. Some simple but effective experiments 13. Adapting the simple experiments 14. Improving a bad experiment 15. Analysis of variance 16. An introduction to Taguchi techniques

Über den Autor / die Autorin

R. Caulcutt

Zusammenfassung

This book covers experimental design and the more advanced techniques of data analysis which can be used to assess performance, to compare methods and to control quality. It is useful to anyone concerned with the development or the management of complex processes in any industry.

Produktdetails

• Autoren: R. Caulcutt, R. (University of Bradford Caulcutt
• Mitarbeit: Chris Chatfield (Herausgeber der Reihe), Jim Lindsey (Herausgeber der Reihe), Jim Zidek (Herausgeber der Reihe)
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 31.12.2019
• EAN: 9780367450472
• ISBN: 978-0-367-45047-2
• Seiten: 488
• Serie: Chapman & Hall/CRC Texts in Statistical Science
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Sozialwissenschaften, Recht,Wirtschaft > Wirtschaft > Management