The main purpose of this thesis is twofold: first, to discuss and explain the canonical correlations theory in simpler mathematics than the mathematics used by H. Hotellingthe originator of the concept; secondly, to show the application of this concept, in theoretical statistics, to the reduced form of the simultaneous equations, and in applied field, to an economic model. This way the conceptwhich is a generalization of the simple correlation coefficient theorymay become more well-known and popular. This simplification of mathematics of the concept shows how important is this concept in multivariate analysis as well as in applied fields
Classical canonical correlation analysis is one of the fundamental tools in statistics to investigat...
Canonical correlation analysis is the most general linear model subsuming all other univariate and m...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
AbstractIn this article, we propose a new canonical correlation method based on information theory. ...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
to the Economic Opportunity Act of 1964..The opinions expressed are solely those of the author. This...
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
The paper discusses the use of canonical correlations for modelling multiple equation systems with c...
The paper discusses the use of canonical correlations for modelling multiple equation systems with c...
Canonical correlation methods for data representing functions or curves have received much attention...
This paper describes and demonstrates Canonical Correlation Analysis (CCA) with orthogonal rotation ...
Many procedures have been proposed for analyzing and describing multivariate dependence structure. P...
Data (multivariate data) on two sets of vectors commonly occur in applications. Statistical analysis...
Classical canonical correlation analysis is one of the fundamental tools in statistics to investigat...
Canonical correlation analysis is the most general linear model subsuming all other univariate and m...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
AbstractIn this article, we propose a new canonical correlation method based on information theory. ...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
to the Economic Opportunity Act of 1964..The opinions expressed are solely those of the author. This...
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
The paper discusses the use of canonical correlations for modelling multiple equation systems with c...
The paper discusses the use of canonical correlations for modelling multiple equation systems with c...
Canonical correlation methods for data representing functions or curves have received much attention...
This paper describes and demonstrates Canonical Correlation Analysis (CCA) with orthogonal rotation ...
Many procedures have been proposed for analyzing and describing multivariate dependence structure. P...
Data (multivariate data) on two sets of vectors commonly occur in applications. Statistical analysis...
Classical canonical correlation analysis is one of the fundamental tools in statistics to investigat...
Canonical correlation analysis is the most general linear model subsuming all other univariate and m...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...