[1] Cooke, R.M., Morales, O. and Kurowitcka, D. (2007) Vine in Overview. Proceedings of 3rd Brazilian Conference on Statist. Modeling in Insurance and Finance, 26-30 March 2007, 2-20.
[2] Dimitrovm B. (2010) Some Obreshkov Measures of Dependence and Their Use. Compte Rendus de l’Academie Bulgare des Sciences, 63, 15-18.
[3] Bradley, R.C. (2005) Basic Properties of Strong Mixing Conditions. A Survey and Some Open Questions. Probability Surveys, 2, 107-104.
[4] Genest, C. and Boies, J. (2003) Testing Dependence with Kendall Plots. The American Statistician, 44, 275-284.
http://dx.doi.org/10.1198/0003130032431
[5] Obreshkov, N. (1963) Probability Theory. Nauka i Izkustvo, Sofia (in Bulgarian).
[6] Dimitrov, B., Kolev, N. and Goncalves, M. (2007) Some Measures of Dependence between Two Random Variables. Work Paper.
[7] Renyi, A. (1969) Foundations of Probability Theory. Holden-Day, San Francisco.
[8] Nelsen, R. (1999) An Introduction to Copulas. Springer, New York. http://dx.doi.org/10.1007/978-1-4757-3076-0
[9] Kocherlakota, S. (1988) On the Compounded Bivariate Poisson Distribution: A Unified Treatment. Annals of the Institute of Statistical Mathematics, 49, 61-70. http://dx.doi.org/10.1007/BF00053955