MODELING CATEGORICAL DATA IN FREQUENCY DOMAIN VIA MUTUAL INFORMATION APPROACH.

Autor: O. A., Wale-Orojo, A. T., Soyinka, F. S., Apantaku, O. D., Atanda, A. A., Akintunde
Předmět:
Zdroj: Annals. Computer Science Series; 2020, Vol. 18 Issue 2, p64-68, 5p
Abstrakt: Phenomenon whose occurrences are described with count data in a multi-dimensional contingency table is common in medical and epidemiological studies. This study thus obtained the density function(s) of kth nonlinear vectors via mutual information approach and its measure of dependence from multivariate exponential power distribution which is a member of the multivariate elliptical contoured family. The obtained model which accommodates light and heavytailed member distributions depending on the shape parameter was used to establish results for kth nonlinear vectors from multivariate Laplace, normal, uniform, students' t, and Fisher distributions. The Multivariate dependency of live birth on maternal age as the number of pregnancies increases irrespective of maternal height advantage as claimed from the previous study was established from the theoretical model obtained. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index