Principal component analysis is used.to incorporate the effects of several socioeconomic variables into an index pf regional socioeconomic change. The index is then used as a basis for delineating economic sub-areas within the Tennessee Valley region
a<p>Log transformed prior to PCA analysis.</p><p>Bold: Variables loading heavily on respective facto...
This paper presents a principal components methodology (based on Ram (1982) and Srinivasan (1994)) f...
Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is ...
88 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.The third paper explores a met...
As one kind of regional finance institutions (RFIs), shinkin banks have closer relations with develo...
Theoretically, measures of household wealth can be reflected by income, consumption or expenditure i...
<p>Principal components analysis of association of sensitivity indicators with different municipalit...
AbstractPrincipal Component Analysis is a statistical instrument able to identify the variables expl...
Research has developed empirical models and procedures for analyzing factors which influence rural l...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
There is an acute need for a suitable composite measure of national economic performance insensitive...
This appendix provides detailed supporting information for the socioeconomic analysis discussed in S...
Employment growth is an important economic indicator. It is used to judge the state of the economy a...
Based on 10 years of statistics concerning economic development in Xi'an as the main part of Guanzho...
Limited funds available for developing rural industrial or recreation activities demand efficient us...
a<p>Log transformed prior to PCA analysis.</p><p>Bold: Variables loading heavily on respective facto...
This paper presents a principal components methodology (based on Ram (1982) and Srinivasan (1994)) f...
Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is ...
88 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.The third paper explores a met...
As one kind of regional finance institutions (RFIs), shinkin banks have closer relations with develo...
Theoretically, measures of household wealth can be reflected by income, consumption or expenditure i...
<p>Principal components analysis of association of sensitivity indicators with different municipalit...
AbstractPrincipal Component Analysis is a statistical instrument able to identify the variables expl...
Research has developed empirical models and procedures for analyzing factors which influence rural l...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
There is an acute need for a suitable composite measure of national economic performance insensitive...
This appendix provides detailed supporting information for the socioeconomic analysis discussed in S...
Employment growth is an important economic indicator. It is used to judge the state of the economy a...
Based on 10 years of statistics concerning economic development in Xi'an as the main part of Guanzho...
Limited funds available for developing rural industrial or recreation activities demand efficient us...
a<p>Log transformed prior to PCA analysis.</p><p>Bold: Variables loading heavily on respective facto...
This paper presents a principal components methodology (based on Ram (1982) and Srinivasan (1994)) f...
Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is ...
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