Statistics – Applications
Scientific paper
2008-01-11
Statistics
Applications
Submitted to the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics
Scientific paper
this article illustrates the use of linear and bilinear random effects models to represent statistical dependencies that often characterize dyadic data such as international relations. In particular, we show how to estimate models for dyadic data that simultaneously take into account: regressor variables and third-order dependencies, such as transitivity, clustering, and balance. We apply this new approach to the relations among ph.d. of university in Iran over the period from 1991-2005, illustrating the presence and strength of second and third-order statistical dependencies in these data.
Alimoradi S.
Khalilian Madjid
No associations
LandOfFree
Bilinear Mixed Effects Models For Relations Between Universities does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Bilinear Mixed Effects Models For Relations Between Universities, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bilinear Mixed Effects Models For Relations Between Universities will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-547599