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Visits: 82738969 AMS now reading: 1
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Meloun M., Kupka K. |
THE BOX-COX TRANSFORMATION FOR RIGOROUS STATISTICAL ANALYSIS OF METALLURGICAL DATA |
Abstract
Available software for the statistical data treatment offers a list of various point estimates of the location and spread parameters but rarely is able to help the user to choose the parameter statistically adequate to an actual sample batch. The exploratory data analysis and an examination of sample assumptions will find an answer to this question. Rigorous chemometrical methodology presented on the metallurgical data concerning an estimation of the mean value and requested lower quantiles of the tensile strength of a construction steel illustrates the proposed procedure of a statistical data treatment with the exploratory data analysis. The sample distribution is skewed. Under such circumstances the original data should be transformed. The Box-Cox transformation improves a sample symmetry and also make a stabilization of a spread. The plot of logarithm of the likelihood function enables us to find an optimal transformation parameter. Proposed procedure gives reliable estimates of location parameter for asymmetric distribution when an arithmetic mean can not be used.
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Keywords: Univariate data|Exploratory data analysis|Data transformation|Power transformation|Box-Cox transformation|Hines-Hines selection graph| |
No 1 (2001), p. 34-43 |
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Juhás P., Juhásová E., Roth O. |
FATIGUE STRENGTH OF STRUCTURAL STEEL S 380 AND ITS DEGRADATION DUE TO INFLUENCE OF TRANSVERSE BUTT WELDS |
Abstract
Available software for the statistical data treatment offers a list of various point estimates of the location and spread parameters but rarely is able to help the user to choose the parameter statistically adequate to an actual sample batch. The exploratory data analysis and an examination of sample assumptions will find an answer to this question. Rigorous chemometrical methodology presented on the metallurgical data concerning an estimation of the mean value and requested lower quantiles of the tensile strength of a construction steel illustrates the proposed procedure of a statistical data treatment with the exploratory data analysis. The sample distribution is skewed. Under such circumstances the original data should be transformed. The Box-Cox transformation improves a sample symmetry and also make a stabilization of a spread. The plot of logarithm of the likelihood function enables us to find an optimal transformation parameter. Proposed procedure gives reliable estimates of location parameter for asymmetric distribution when an arithmetic mean can not be used.
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Keywords: steel structures|structural steels|tested specimens|butt welds|variable loading|fatigue curves|fatigue strength|fatigue life-time| |
No 1 (2001), p. 44-54 |
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Horňak P., Matsuda F., Kimoto H. |
FATIGUE CRACK BEHAVIOUR IN SIMULATED BOILING WATER REACTOR ENVIRONMENT |
Abstract
Available software for the statistical data treatment offers a list of various point estimates of the location and spread parameters but rarely is able to help the user to choose the parameter statistically adequate to an actual sample batch. The exploratory data analysis and an examination of sample assumptions will find an answer to this question. Rigorous chemometrical methodology presented on the metallurgical data concerning an estimation of the mean value and requested lower quantiles of the tensile strength of a construction steel illustrates the proposed procedure of a statistical data treatment with the exploratory data analysis. The sample distribution is skewed. Under such circumstances the original data should be transformed. The Box-Cox transformation improves a sample symmetry and also make a stabilization of a spread. The plot of logarithm of the likelihood function enables us to find an optimal transformation parameter. Proposed procedure gives reliable estimates of location parameter for asymmetric distribution when an arithmetic mean can not be used.
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Keywords: environmental fatigue, beach mark test, crack initiation and propagation|crack length and depth|corrosive pit| |
No 1 (2001), p. 55-63 |
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Orolínová M., Medvecký Ľ., Ďurišin J., Ďurišinová K. |
PREPARATION OF NANOCRYSTALLINE CU - AL2O3 POWDER SYSTEM |
Abstract
Available software for the statistical data treatment offers a list of various point estimates of the location and spread parameters but rarely is able to help the user to choose the parameter statistically adequate to an actual sample batch. The exploratory data analysis and an examination of sample assumptions will find an answer to this question. Rigorous chemometrical methodology presented on the metallurgical data concerning an estimation of the mean value and requested lower quantiles of the tensile strength of a construction steel illustrates the proposed procedure of a statistical data treatment with the exploratory data analysis. The sample distribution is skewed. Under such circumstances the original data should be transformed. The Box-Cox transformation improves a sample symmetry and also make a stabilization of a spread. The plot of logarithm of the likelihood function enables us to find an optimal transformation parameter. Proposed procedure gives reliable estimates of location parameter for asymmetric distribution when an arithmetic mean can not be used.
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Keywords: powder metallurgy|nanocrystalline copper|dispersion strengthening| |
No 1 (2001), p. 64-72 |
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Slyško P. |
DECREASE IN THE PLASTICITY OF MATERIALS WITHIN THE RANGE OF CRITICAL RECRYSTALLIZATION TEMPERATURES |
Abstract
Available software for the statistical data treatment offers a list of various point estimates of the location and spread parameters but rarely is able to help the user to choose the parameter statistically adequate to an actual sample batch. The exploratory data analysis and an examination of sample assumptions will find an answer to this question. Rigorous chemometrical methodology presented on the metallurgical data concerning an estimation of the mean value and requested lower quantiles of the tensile strength of a construction steel illustrates the proposed procedure of a statistical data treatment with the exploratory data analysis. The sample distribution is skewed. Under such circumstances the original data should be transformed. The Box-Cox transformation improves a sample symmetry and also make a stabilization of a spread. The plot of logarithm of the likelihood function enables us to find an optimal transformation parameter. Proposed procedure gives reliable estimates of location parameter for asymmetric distribution when an arithmetic mean can not be used.
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Keywords: plasticity|copper|recrystallization|critical recrystallization temperature|distribution and density of dislocations|fracture slip bands| |
No 1 (2001), p. 73-88 |
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Trišč A., Čurilla J., Kendera J. |
PRODUCTION OF PELLETS FROM BOF SLUDGES AND DUSTS FOR REDUCTIVE MELTING PURPOSES |
Abstract
Available software for the statistical data treatment offers a list of various point estimates of the location and spread parameters but rarely is able to help the user to choose the parameter statistically adequate to an actual sample batch. The exploratory data analysis and an examination of sample assumptions will find an answer to this question. Rigorous chemometrical methodology presented on the metallurgical data concerning an estimation of the mean value and requested lower quantiles of the tensile strength of a construction steel illustrates the proposed procedure of a statistical data treatment with the exploratory data analysis. The sample distribution is skewed. Under such circumstances the original data should be transformed. The Box-Cox transformation improves a sample symmetry and also make a stabilization of a spread. The plot of logarithm of the likelihood function enables us to find an optimal transformation parameter. Proposed procedure gives reliable estimates of location parameter for asymmetric distribution when an arithmetic mean can not be used.
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Keywords: sludge|dust|pellets|cement| |
No 1 (2001), p. 89-96 |
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Sekula F., Rybár P., Cehlár M., Kyseľová K., Bocan J. |
PRE-FEASIBILITY STUDY OF MINERAL RESERVES "STRIEBORNA - ROŽŇAVA" |
Abstract
Available software for the statistical data treatment offers a list of various point estimates of the location and spread parameters but rarely is able to help the user to choose the parameter statistically adequate to an actual sample batch. The exploratory data analysis and an examination of sample assumptions will find an answer to this question. Rigorous chemometrical methodology presented on the metallurgical data concerning an estimation of the mean value and requested lower quantiles of the tensile strength of a construction steel illustrates the proposed procedure of a statistical data treatment with the exploratory data analysis. The sample distribution is skewed. Under such circumstances the original data should be transformed. The Box-Cox transformation improves a sample symmetry and also make a stabilization of a spread. The plot of logarithm of the likelihood function enables us to find an optimal transformation parameter. Proposed procedure gives reliable estimates of location parameter for asymmetric distribution when an arithmetic mean can not be used.
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Keywords: feasibility study|processing|investment|costs|revenues|net present value| |
No 1 (2001), p. 97-104 |
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