Exploration of univariate data in the textile metrology

• Autorzy: Militky, J. , Meloun, M.
• Konferencja: International Textile Conference IMTEX 2000 (IV ; 5-6.06.2000 ; Łódź, Poland)
• Języki publikacji: EN

Abstrakty

EN

The main aim of data analysis in textile metrology is the extraction of relevant information from measurements. This contribution is focused to most frequent task, i.e univariate data treatment based on the analysis of experimentally determined values Xi, i=1,...N. The system of exploratory data analysis based on concept of quantile estimation is proposed. The main part of this contribution is devoted to the description of several graphical tools for data summarization and exploration. Selected techniques are used for analysis of the strength of basalt fibers at small gauge length. The program package ADSTAT for realization of the above-mentioned techniques is briefly described.

Słowa kluczowe

EN

date analysis; date visualization; exploratory date analysis; EDA techniques; textile metrology; basalt fibers; ADSTAT package

• Czasopismo: Zeszyty Naukowe. Włókiennictwo / Politechnika Łódzka
• Rocznik: 2000
• Tom: z. 58
• Strony: 165-173
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Militky, J.

• Dept. of Textile Materials, Technical University of Liberec, Hálkova 6, 46117 Liberec, Czech Republic,

autor

Meloun, M.

• Dept. of Analytical Chemistry, Uiversity of Pardubice Pardubice, Czech Republic e-mail:

Bibliografia

• [1] Meloun M., Militký J., .,Forina M., Chemometrics for Analytical Chemistry, voll PC Aided Statistical Data Analysis, Ellis Horwood, Chichester 1992.
• [2] Burry K.V., Statistical Models in Applied Science, J. Wiley, New York 1975.
• [3] Tukey J.W., Exploratory Data Analysis, Addison Wesley, Reading, Mass. 1977.
• [4] Militký J., System EXDAB, Proc. Int. Conf. COMPSTAT' 84, Prague, 1984, Poster section.
• [5] Parzen E., Statistical methods mining and non parametric quantile domain data analysis, Proc Ninth int. conf. on quantitative methods for environmental science, July 1988, Melbourne.
• [6] Parzen E., J. Amer. Statist. Assoc. 74, 105 (1985).
• [7] Hoaglin D. C., Mosteier F. Tukey J. W., Eds. Understanding Robust and Exploratory Data Analysis, J. Wiley, New York, 1983.