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|Title:||Independence Test For Sparse Data|
J. E.; Gonzalez-Lopez
|Abstract:||In this paper a new non-parametric independence test is presented. Garcia and Gonzalez-Lopez (2014)  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.|
Longest Non-decreasing Subsequence
|Editor:||Amer Inst Physics|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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