<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>In the statistical treatment of measured data, factor analysis is often necessary. The methods involved can be used individually to emphasize the basic common factors in the group of variables; the factors produced can be then utilized as input data for other data analysis methods. The number of variables required to describe the system may be lowered, because the original variables may be correlated and, possibly, there is a smaller set of linearly independent variables. Thus, factor analysis is among the possible methods for the data analysis, when dealing with quantitative analytical measurements. Factor analysis of the measured data was used to lower the amount of variables in the analysis of steel; it was found that 94.5 % of the overall variance in the data can be attributed to three factors. Three original variables were assigned to these factors, lowering the number of required variables.</p></abstract>

In the statistical treatment of measured data, factor analysis is often necessary. The methods involved can be used individually to emphasize the basic common factors in the group of variables; the factors produced can be then utilized as input data for other data analysis methods. The number of variables required to describe the system may be lowered, because the original variables may be correlated and, possibly, there is a smaller set of linearly independent variables. Thus, factor analysis is among the possible methods for the data analysis, when dealing with quantitative analytical measurements. Factor analysis of the measured data was used to lower the amount of variables in the analysis of steel; it was found that 94.5 % of the overall variance in the data can be attributed to three factors. Three original variables were assigned to these factors, lowering the number of required variables.

The importance of factor analysis in quantitative and qualitative X-ray diffraction phase analysis

Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Czech Republic

KOM – Corrosion and Material Protection Journal

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

In the statistical treatment of measured data, factor analysis is often necessary. The methods involved can be used individually to emphasize the basic common...

The importance of factor analysis in quantitative and qualitative X-ray diffraction phase analysis

Published Online: Jul 10, 2014

Page range: 52 - 58

DOI: https://doi.org/10.2478/kom-2014-0005

© by A. H. Camara

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.