Independence test for sparse data

In this paper a new non-parametric independence test is presented. García and González-López (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 requir...

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Bibliographic Details
Main Authors: García, J. E., González-López, V. A.
Format: Conference Proceeding
Language:English
Subjects:
Continuity (mathematics)
Random variables
Statistical tests
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Online Access:Get full text
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Summary:In this paper a new non-parametric independence test is presented. García and González-López (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 Pearson’s Chi-squared test.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4951925