12.07.2015 Views

Dependence of non-continuous random variables

Dependence of non-continuous random variables

Dependence of non-continuous random variables

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Fallacies <strong>Dependence</strong> Concordance Measures Problems & References Appendixτ, ρ and ϱ for Binomial Distributions1110.80.80.80.60.60.60.40.40.40.20.20.200.20.40.60.8 10 0.2 0.40.60.8100.20.40.60.8 1xxxF 1 = B(2, 0.4), F 2 = B(2, x).x0 0.2 0.4 0.6 0.8 1F 1 = B(4, 0.4), F 2 = B(4, x).x0 0.2 0.4 0.6 0.8 1F 1 = B(10, 0.4), F 2 = B(10, x).x0 0.2 0.4 0.6 0.8 1-0.2-0.2-0.2-0.4-0.4-0.4-0.6-0.6-0.6-0.8-0.8-0.8-1-1-1J. Nešlehová F 1 = B(2, 0.4), F 2 = B(2, x). F 1 = B(4, 0.4), F 2 = B(4, x). F 1 = B(10, 0.4), F 2 = B(10, ETHx).Zurich<strong>Dependence</strong> <strong>of</strong> <strong>non</strong>-<strong>continuous</strong> <strong>random</strong> <strong>variables</strong>

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!