Sprawdzanie jednorodności jakości materiałów niekształtnych z wykorzystaniem rozkładów wartości ekstremalnych

• Authors: Grzegorz Kończak

Title variants

EN

The Use of Extreme Value Distributions in Checking the Quality Shapeless Materials Homogeneity

• Languages of publication: PL

Abstracts

EN

For quality control it is essential that the control samples are homogeneous. In practice this is impossible, and the requirement can be reduced to the condition that the samples were taken from the same population. The study presented in the paper is an analysis of the issue of testing the quality of the shapeless material. As a shapeless material is referred to the material from which it is impossible to directly extract the individual elements, packages, etc. This paper proposes a method to verify the hypothesis that the tested material is homogeneous due to the observed characteristics.

Keywords

PL

Metody statystyczne; Statystyka; Zmienne losowe

EN

Random variable; Statistical methods; Statistics

• Publisher: Uniwersytet Ekonomiczny w Katowicach
• Journal: Studia Ekonomiczne
• Year: 2013
• Volume: 152
• Pages: 82-94

Contributors

author

Grzegorz Kończak

References

• Boos D.D., Brownie C. (1989): Bootstrap Methods for Testing Homogeneity of Variances. "Technometrics", Vol. 31, No. 1.
• Castillo E., Hadi A.S., Balakrishnan N., Sarabia J.M. (2005): Extreme Value and Related Models with Applications in Engineering and Science. John Wiley & Sons, New Jersey.
• Efron B., Tibshirani R. (1993): An Introduction to the Bootstrap. Chapman & Hall. New York.
• Good P.I. (1994): Permutation Tests: A Practical Guide for Testing Hypotheses. Springer-Verlag, New York.
• Kanji G.K. (2006): 100 Statistical Tests. Sage Publications, London.
• Kończak G. (2006): O teście równości wariancji wykorzystującym metodę bootstrap. W: Taksonomia 13. Klasyfikacja i analiza danych - teoria i zastosowania. Red. K. Jajuga, M. Walesiak. Wydawnictwo Akademii Ekonomicznej, Wrocław, s. 543-552.
• Scheaffer R.L. (1971): A Test for the Homogeneity of a Mixture. "Technometrics", Vol. 13, No. 2.
• (WWW1): http://www.r-project.org.

Identifiers

ISSN

2083-8611