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A test of independence for the coordinates of bivariate censored data

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  • Gombay, Edit

Abstract

The bivariate censored data model is studied and a test to see whether the coordinates are independent is given via density estimation methods. This proposed test is distribution free. Comparison with a test using survival functions is discussed. Strong approximation of empirical distributions, kernel-type density estimators and univariate/bivariate product-limit estimators are utilized.

Suggested Citation

  • Gombay, Edit, 1988. "A test of independence for the coordinates of bivariate censored data," Journal of Multivariate Analysis, Elsevier, vol. 25(2), pages 223-240, May.
    • Handle: RePEc:eee:jmvana:v:25:y:1988:i:2:p:223-240
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