Counting a Random Event: Traditional Approach and New Perspectives
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-64250-1_4
Reference25 articles.
1. Bernardi, E., & Romagnoli, S. (2011). Computing the volume of an high-dimensional semi-unsupervised hierarchical copula. International Journal of Computer Mathematics, 88(12), 2591–2607.
2. Bernardi, E., & Romagnoli, S. (2013). A clusterized copula-based probability distribution of a counting variable for high-dimensional problems. The Journal of Credit Risk, 9(2), 3–26.
3. Bortkiewicz, L. J. (1898). The Law of Small Numbers. Leipzig: B.G. Teubner.
4. Cameron, A. C., & Trivedi, P. K. (1998). Regression Analysis of Count Data. (Econometric Society Monograph, Vol. 30). Cambridge: Cambridge University Press.
5. Consul, P. C., & Jain, G. C. (1973). A generalization of the Poisson distribution. Technometrics, 15(4), 791–799.
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