Terminated in academic year 2020/2021
Special Statistical Methods
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 639-3005/01 |
| Abbreviation | SSM |
| Course title | Special Statistical Methods |
| Credits | 7 |
| 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.
14. Prezentation of seminary works.
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.
14. Prezentation of seminary works.
E-learning
Integrovaný systém modulární počítačové podpory výuky ekonomicko-technického zaměření (http://lms.vsb.cz): Vzdělávací modul 4 – Zlepšování procesů s využitím statistické analýzy:submodul Analýza statistické stability procesu, submodul Postupy analýzy příčin variability, návrhy opatření ke zlepšení, vyhodnocení dosaženého zlepšení. NOSKIEVIČOVÁ, D. Speciální statistické metody – nekonvenční regulační diagramy. Studijní opory. Ostrava: VŠB-TU Ostrava, 2015. NOSKIEVIČOVÁ, D. Speciální statistické metody. Studijní opory. Ostrava: VŠB-TU Ostrava, 2008.BRODECKÁ, K. a kol. Elektronická sbírka příkladů k předmětům zaměřeným na aplikovanou statistiku v rámci studijních plánů oboru Management jakosti. Studijní opory. Ostrava: VŠB-TU Ostrava, 2009. NOSKIEVIČOVÁ, D. Special Statistical Methods for Quality Management. Studijní opory. Doplňkové texty v anglickém jazyce Ostrava: VŠB-TU Ostrava, 2012.
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.