Asymmetric proximity matrices, Applied Statistics

Asymmetric proximity matrices

Immediacy matrices in which the off-diagonal elements which are, in the i th row and j th column and the j th row and i th column, are not essentially equal. Examples are given by the number of marriages between men of one nationality and women of another, immigration/emigration statistics and the number of citations of one journal by the other.Multidimensional scaling methods and techniques for such matrices usually rely on their canonical decom- position into the sum of a symmetric matrix and the skew symmetric matrix.

 

 

Posted Date: 7/25/2012 6:12:29 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
Why are graphs and tables useful when examining data? A researcher is comparing two middle school 7th grade classes. One class at one school has participated in an arts program

solve problems

A real estate agency collected the data shown below, where           y  = sales price of a house (in thousands of dollars)           x 1 = home size (in hundreds of square f


Asymmetric proximity matrices Immediacy matrices in which the off-diagonal elements which are, in the i th row and j th column and the j th row and i th column, are not essent

Estimate the standard deviation of the process: Draw the X (bar) and R charts for the data given and give your comments about the process under study. Estimate the standard de

for this proportion, use the +-2 rule of thumb to determine the 95 percent confidence interval. when asked if they are satisfied with their financial situation, .29 said "very sat

There are n seats on an airplane and n passengers have bought tickets. Unfortunately, the first passenger to enter the plane has lost his ticket and, so he just chooses a seat at r

MARKS IN LAW :10 11 10 11 11 14 12 12 13 10 MARKS IN STATISTICS :20 21 22 21 23 23 22 21 24 23 MARKS IN LAW:13 12 11 12 10 14 14 12 13 10 MARKS IN STATISTICS:24 23 22 23 22 22 24 2

Exercise: (Binomial and Continuous Model.) Consider a binomial model of a risky asset with the parameters r = 0:06, u = 0:059, d =  0:0562, S0 = 100, T = 1, 4t = 1=12. Note that u