bivariate features, obtained from multichannel electroencephalogram (eeg) recordings, quantify the relation between different brain regions. studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. a new bivariate approach using univariate features is proposed here. differences and ratios ...

asymmetric information in iran’s insurance market: case study for automobile insurance in iran insurance companythis research aims to test the presence of asymmetric information by using the dynamic information of automobile policyholders in the iran insurance company (iic). the conditional independence test is conducted by bivariate probit model, the dynamic properties which are presented for ...

Abstract Fatal Shock, competing risks and stress models are utilized in reliability survival analysis to characterize various application types. In this context, paper aimed introduce a new class of bivariate distribution based on the Marshall–Olkin type. The proposed termed as Bivariate Extended Chen (BEC) so that marginals have distribution. Some properties derived explained. BEC parameters e...

in 2004, rodr'{i}guez-lallena and '{u}beda-flores have introduced a class of bivariate copulas which generalizes some known families such as the farlie-gumbel-morgenstern distributions. in 2006, dolati and '{u}beda-flores presented multivariate generalizations of this class. then in 2011, kim et al. generalized rodr'{i}guez-lallena and '{u}beda-flores' study to any...

in this paper, we derive rst some results on the shannon entropyin order statistics and their concomitants arising from a sequence of f(xi; yi): i = 1; 2; :::g independent and identically distributed (iid) random variablesfrom the bivariate normal distribution and extend our results to a collectionc(x; y ) = f(xr1:n; y[r1:n]); (xr2:n; y[r2:n]); :::; (xrk:n; y[rk:n])g of order sta-tistics and t...