A method for the mathematical interpretation of results of analysis of multicomponent mixtures for confirmation of identity is described. Multicomponent samples of medicines and narcotics were used as example model systems. © 2013 Springer Science+Business Media New York
We describe the use of pattern recognition and multivariate regression in the assessment of complex ...
Factor analysis is an analysis of influence of separate factors (reasons) on the resulting indicator...
To explore structural differences and similarities in multivariate multiblock data (e.g., a number o...
In order to assess if factor analysis has practical utility in our laboratories factor analysis tech...
Factor analysis is a multivariate statistical method for data reduction that originated in psychomet...
Several methods have been developed for the analysis of a mixture of qualitative and quantitative va...
The Laboratory of Pharmaceutical Analytical Chemistry (LCAP) is involved in numerous projects and th...
A factor analysis model is proposed for the case of a mixture of various types of discrete and conti...
The paper describes a method for determining homologous classes of compounds in a multicomponent com...
Three-mode factor analysis models are often used in exploratory analysis of three-way data. However,...
It is suggested that, in spite the logical inconsistencies, factor analysis can be applied in many c...
Abstract I The principal components (PC) analysis of standardized R t values in four eluent systems ...
Objectives of factor analysis To reduce the number of variables (indictors) to the smallest number o...
Factor analysis is a mathematical model, the set of experimental designs which utilize it, and a sys...
The following thesis used chemometric software to examine data generated from differential analysis ...
We describe the use of pattern recognition and multivariate regression in the assessment of complex ...
Factor analysis is an analysis of influence of separate factors (reasons) on the resulting indicator...
To explore structural differences and similarities in multivariate multiblock data (e.g., a number o...
In order to assess if factor analysis has practical utility in our laboratories factor analysis tech...
Factor analysis is a multivariate statistical method for data reduction that originated in psychomet...
Several methods have been developed for the analysis of a mixture of qualitative and quantitative va...
The Laboratory of Pharmaceutical Analytical Chemistry (LCAP) is involved in numerous projects and th...
A factor analysis model is proposed for the case of a mixture of various types of discrete and conti...
The paper describes a method for determining homologous classes of compounds in a multicomponent com...
Three-mode factor analysis models are often used in exploratory analysis of three-way data. However,...
It is suggested that, in spite the logical inconsistencies, factor analysis can be applied in many c...
Abstract I The principal components (PC) analysis of standardized R t values in four eluent systems ...
Objectives of factor analysis To reduce the number of variables (indictors) to the smallest number o...
Factor analysis is a mathematical model, the set of experimental designs which utilize it, and a sys...
The following thesis used chemometric software to examine data generated from differential analysis ...
We describe the use of pattern recognition and multivariate regression in the assessment of complex ...
Factor analysis is an analysis of influence of separate factors (reasons) on the resulting indicator...
To explore structural differences and similarities in multivariate multiblock data (e.g., a number o...