Actas de congresos
Independence Test For Sparse Data
Registro en:
978-0-7354-1392-4
Proceedings Of The International Conference On Numerical Analysis And Applied Mathematics 2015 (icnaam-2015). Amer Inst Physics, v. 1738, p. , 2016.
0094-243X
WOS:000380803300169
10.1063/1.4951925
Autor
Garcia
J. E.; Gonzalez-Lopez
V. A.
Institución
Resumen
In this paper a new non-parametric independence test is presented. Garcia and Gonzalez-Lopez (2014) [1] introduced the LIS test for the hypothesis of independence between two continuous random variables, the test proposed in this work is a generalization of the LIS test. The new test does not require the assumption of continuity for the random variables, it test is applied to two datasets and also compared with the Pearsons Chi-squared test. 1738 International Conference on Numerical Analysis and Applied Mathematics (ICNAAM) SEP 23-29, 2015 Rhodes, GREECE