Statistics for process control engineers a practical approach
The first statistics guide focussing on practical application to process control design and maintenance Statistics for Process Control Engineers is the only guide to statistics written by and for process control professionals. It takes a wholly practical approach to the subject. Statistics are appli...
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
Wiley
2017.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630135006719 |
Tabla de Contenidos:
- Part 1 The Basics
- 1. Introduction
- 2. Application to Process Control
- 3. Process Examples
- 4. Characteristics of Data
- 5. Probability Density Function
- 6. Presenting the Data
- 7. Sample Size
- 8. Significance testing
- 9. Fitting a Distribution
- 10. Distribution of Dependent Variables
- 11. Commonly Used Functions
- 12. Selected Distributions
- 13. Extreme Value Analysis
- 14. Hazard Function
- 15. CUSUM
- 16. Regression Analysis
- 17. Autocorrelation
- 18. Data Reconciliation
- 19. Fourier Transform
- Part 2 Catalogue of Distributions
- 20. Normal Distribution
- 21. Burr Distribution
- 22. Logistic Distribution
- 23. Pareto Distribution
- 24. Stoppa Distribution
- 25. Beta Distribution
- 26. Johnson Distribution
- 27. Pearson Distribution
- 28. Exponential Distribution
- 29. Weibull Distribution
- 30. Chi Distribution
- 31. Gamma Distribution
- 32. Symmetrical Distributions
- 33. Asymmetrical Distributions
- 34. Amoroso Distribution
- 35. Binomial Distribution
- 36. Other Discrete Distributions
- Appendix 1: Data Used in Examples
- Appendix 2: Summary of Distributions.
