Permutations without long decreasing subsequences and random matrices.
Śniady, Piotr (2007)
The Electronic Journal of Combinatorics [electronic only]
Similarity:
Śniady, Piotr (2007)
The Electronic Journal of Combinatorics [electronic only]
Similarity:
Hofmann-Credner, Katrin, Stolz, Michael (2008)
Electronic Communications in Probability [electronic only]
Similarity:
König, Wolfgang (2005)
Probability Surveys [electronic only]
Similarity:
Duheille-Bienvenüe, Frédérique, Guillotin-Plantard, Nadine (2003)
Electronic Communications in Probability [electronic only]
Similarity:
Gnedin, Alexander V. (2010)
Probability Surveys [electronic only]
Similarity:
Novak, J. (2007)
The Electronic Journal of Combinatorics [electronic only]
Similarity:
Borodin, Alexei (1999)
The Electronic Journal of Combinatorics [electronic only]
Similarity:
Chatterjee, Sourav, Ledoux, Michel (2009)
Electronic Communications in Probability [electronic only]
Similarity:
Eckhoff, Maren, Rolles, Silke W.W. (2009)
Electronic Communications in Probability [electronic only]
Similarity:
Oraby, Tamer F. (2007)
Electronic Communications in Probability [electronic only]
Similarity:
Hildebrand, Martin (2005)
Probability Surveys [electronic only]
Similarity:
Houdré, Christian, Xu, Hua (2008)
Electronic Journal of Probability [electronic only]
Similarity:
Kolumbán, József, Soós, Anna, Varga, Ibolya (2003)
International Journal of Mathematics and Mathematical Sciences
Similarity:
Czesław Stępniak (2015)
Discussiones Mathematicae Probability and Statistics
Similarity:
Correlation coefficient is a well known measure of (linear) dependence between random variables. In his textbook published in 1980 L.T. Kubik introduced an analogue of such measure for random events A and B and studied its basic properties. We reveal that this measure reduces to the usual correlation coefficient between the indicator functions of A and B. In consequence the resuts by Kubik are obtained and strenghted directly. This is essential because the textbook is recommended by...