Asymmetric proximity matrices, Advanced Statistics

Asymmetric proximity matrices: Proximity matrices in which the non-diagonal elements, in the ith row and jth column and the jth row and ith column, are not essentially equal. Examples are given by the number of marriages among men of one nationality and women of another, immigration statistics and the number of the citations of one journal by another.

Multidimensional scaling methods or techniques for such matrices generally rely on their canonical decom-position into the sum of a symmetric matrix and a skew symmetric matrix.

 

Posted Date: 7/26/2012 4:32:52 AM | Location : United States







Related Discussions:- Asymmetric proximity matrices, Assignment Help, Ask Question on Asymmetric proximity matrices, Get Answer, Expert's Help, Asymmetric proximity matrices Discussions

Write discussion on Asymmetric proximity matrices
Your posts are moderated
Related Questions
Randomized encouragement trial   is the clinical trials in which the participants are encouraged to change their behaviour in a particular manner (or not, if they are allocated to

Hurdle Model:  The model for count data which postulates two processes, one generating the zeros in the data and one generating positive values. The binomial model decides the bina

The skewness is a measure of asymmetry and as it is positive at 4.29, it is greater than zero which reveals that the tail extends to the right indicating the distribution to be mor

The Current status data arise in the survival analysis if the observations are limited to the indicators of whether or not the event of interest has happened at the time the sample

Kappa coefficient : The chance corrected index of the agreement between, for instance, judgements and diagnoses made by the two raters. Calculated as the ratio of the noticed exces

Bubble plot : A method or technique for displaying the observations which involve three variable values. Two of the variables are used to make a scatter diagram and values of the t

Partial least squares is an alternative to the multiple regressions which, in spite of using the original q explanatory variables directly, constructs the new set of k regressor v

The particular projection which an investigator believes is most likely to give an accurate prediction of the future value of some process. Commonly used in the context of the anal

Indirect least squares: An estimation technique used in the fitting of structural equation models. Commonly least squares are first used to estimate reduced form parameters. Usi

Huffman code is used to compress data file, where the data is represented as a sequence of characters. Huffman's greedy algorithm uses a table giving how often each character occur