Abstract
Through the Principal Components the weights of each one of the variables are reflected and as well they will allow to group the districts of the Republic of Panama in similar conditions of development groups and thus for determining the similarities and inequalities.
References
Anderson,R.E.; Black, W.; Hair, J.E.; Thatam, R.L. (1999) Análisis Multivariante. Prentice-Hall, Madrid.
Anderson, T.W. (1958) An Introduction Multivariate Aanalysis. John Willey and Sons, New York.
Carrasco, G. (1996) Análisis de las Componentes Principales y sus Aplicaciones. Tesis de la Universidad de Panamá́, Panamá́.
Carrasco, G.; Mejía, A. (1997) “Valores propios de la matriz de varianza covarianza muestral y sus distribuciones”, Scientia 13(1): 79–85.
Johnson, D.E. (2000) Métodos Multivariado aplicado al Análisis de Datos. Thompson.
Johnson, R.; Wichern, D. (1982) Applied Multivariate Statistical Analysis. Prentice Hall, New Jersey.
Jollife, I.T. (1986) Principal Component Analysis. Springer-Verlag, New York.
Mardia, K.V.; Kent, J.T.; Bibby, J.M. (1979) Multivariate Analysis. Academic-Press, London.
Morrison, D.F. (1976) Multivariate Statistical Methods. McGraw-Hill, New York.
Pla, L.E. (1986) Análisis Multivariado. Método de Componentes Principales. O.E.A., Washington.