Principal factor analysis, Advanced Statistics

Principal factor analysis is the method of factor analysis which is basically equivalent to a principal components analysis performed on reduced covariance matrix attained by replacing the diagonal elements of the sample variance-covariance matrix with the estimated communalities.

The two often used estimates of the latter are
 (a) the square of the multiple correlation coefficient of ith variable with all the other variables, 
(b) the largest of the absolute values of the correlation coefficients between the ith variable and one of other variables

Posted Date: 7/31/2012 3:11:39 AM | Location : United States







Related Discussions:- Principal factor analysis, Assignment Help, Ask Question on Principal factor analysis, Get Answer, Expert's Help, Principal factor analysis Discussions

Write discussion on Principal factor analysis
Your posts are moderated
Related Questions
The procedures for extracting the pattern in a series of observations when this is obscured by the noise. Basically any such technique or method separates the original series into

Suppose we estimate the following model: Passengersi = 1 + 2Populationi + ui a) Generate a scatter plot with passengers on the vertical axis and population on the horizonta


Human height growth curves : The growth of human height is, in common, remarkably regular, apart from the pubertal growth spurt. The satisfactory longitudinal development curve is

Machine learning  is a term which literally means the ability of a machine to recognize patterns which have occurred repetitively and to improve its performance based on the past

cholscores Treatment income ($000) Patient ID low Income? 0.6 Old 21.3 2 Yes 0.17 Old 27.2 13 Yes 0.69 New 27.1 16 Yes 1.09 Old 94.8

The term which is used in the industrial experimentation, where there is commonly a large set of candidate factors believed to have the possible significant influence on the respon

Common cause failures (CCF): Simultaneous failures of the number of components due to a same reason. A reason can be external to the components, or it can be the single failure wh


Window estimates is a term which occurs in the context of the both frequency domain and time domain estimation for the time series. In the previous it generally applies to weights