Special Statistical Methods
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 639-3005/03 |
| Abbreviation | SSM |
| Course title | Special Statistical Methods |
| Credits | 6 |
| Coordinating department | Department of Quality Management |
| Course coordinator | prof. Ing. Darja Noskievičová, CSc. |
Subject syllabus
1. Complex statistical data analysis (verification of normality, homogenity, data independence)
2. Methods of random sampling.
3. Statistical process control (SPC) as a hypothesis testing, risk of false signal, risk of missing signal, ARL, operating characteristics curve of control chart.
4. SPC phases.
5. Preconditions for the correct application of Shewhart control charts. Nontraditional SPC methods (survey).
6. Short Run control charts. Control charts for nonnormally distributed data.
7. Multivariate SPC.
8. SPC for autocorrelated data.
9. Statistical basic of acceptance sampling. Efficiency and effectivity of sampling plans.
10. Computation of producer and consumer risks. Construction of OC curve of sampling plans. Computation of sampling plan parameters.
11. Variable and attribute acceptance sampling plans.
12. Systems of sampling plans.
13. Additional practical aspects of acceptance sampling.
2. Methods of random sampling.
3. Statistical process control (SPC) as a hypothesis testing, risk of false signal, risk of missing signal, ARL, operating characteristics curve of control chart.
4. SPC phases.
5. Preconditions for the correct application of Shewhart control charts. Nontraditional SPC methods (survey).
6. Short Run control charts. Control charts for nonnormally distributed data.
7. Multivariate SPC.
8. SPC for autocorrelated data.
9. Statistical basic of acceptance sampling. Efficiency and effectivity of sampling plans.
10. Computation of producer and consumer risks. Construction of OC curve of sampling plans. Computation of sampling plan parameters.
11. Variable and attribute acceptance sampling plans.
12. Systems of sampling plans.
13. Additional practical aspects of acceptance sampling.
E-learning
Literature
MONTGOMERY, D. C. Statistical quality control: A modern introduction. Hoboken: J. Wiley, 2013. ISBN 978-1118146811.
MITRA, A. Fundamentals of quality control and improvement. Hoboken: Wiley, 2016. ISBN: 978-1-118-70514-8 .
RYAN, T. P. Statistical methods for quality improvement. Hoboken: J. Wiley and Sons, 2011. ISBN 978-1-118-05811-4 .
MITRA, A. Fundamentals of quality control and improvement. Hoboken: Wiley, 2016. ISBN: 978-1-118-70514-8 .
RYAN, T. P. Statistical methods for quality improvement. Hoboken: J. Wiley and Sons, 2011. ISBN 978-1-118-05811-4 .
Advised literature
NOSKIEVIČOVÁ, D. Special Statistical Methods for Quality Management. Ostrava: VŠB-TUO, 2012. Available from: http://katedry.fmmi.vsb.cz/Opory_FMMI_ENG/QM/Special%20Statistical%20Methods.pdf.