639-3005/02 – Special Statistical Methods (SSM)

Gurantor departmentDepartment of Quality ManagementCredits7
Subject guarantorprof. Ing. Darja Noskievičová, CSc.Subject version guarantorprof. Ing. Darja Noskievičová, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Study languageEnglish
Year of introduction2014/2015Year of cancellation2020/2021
Intended for the facultiesFMTIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
NOS35 prof. Ing. Darja Noskievičová, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+4
Part-time Credit and Examination 6+12

Subject aims expressed by acquired skills and competences

Students will: - be able to select suitable graphical methods and statistical tests for verification of data presumptions - be able to realize complex statistical data analysis - be able to select suitable method of random sampling - be able to select and apply suitable system of sampling plans - be able to compute a analyze supplier and customer risks - be able to aplly different methods of acceptance sampling for variables - be able to compute false and missing signal and ARL for selected control charts - be able to construct and analyse operational characteristics of selected control charts - be able to select suitable methods of SPC when presumptions for traditional Shewhart control charts are not met - be able to apply nontraditional SPC methods (control charts for nonnormaly distributed data, for autocorrelated data, for multivariable characteristics, for short run processes, for little changes of process parameters).

Teaching methods

Project work


This subject aims to make deeper students´ theoretical basis and practical experience with statistical methods for quality management. A big stress is put on the verification of data pre-conditions, complex solution of problems.Non-traditional methods, especially in the field of statistical process control, are taken into account.

Compulsory 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.

Recommended 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.

Way of continuous check of knowledge in the course of semester


Other requirements

Elaboration of individual projects; elaboration of seminar work and its prezentation; running checking tests, final test.


Subject has no prerequisities.


Subject has no co-requisities.

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.

Conditions for subject completion

Full-time form (validity from: 2014/2015 Winter semester, validity until: 2020/2021 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  20
        Examination Examination 60  31 3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2017/2018 (N3922) Economics and Management of Industrial Systems (3902T062) Quality Management P English Ostrava 1 Compulsory study plan
2016/2017 (N3922) Economics and Management of Industrial Systems (3902T062) Quality Management P English Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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