# RANK TESTS FOR INDEPENDENCE — WITH A WEIGHTED CONTAMINATION ALTERNATIVE

@inproceedings{Shieh2000RANKTF, title={RANK TESTS FOR INDEPENDENCE — WITH A WEIGHTED CONTAMINATION ALTERNATIVE}, author={Grace S. Shieh and Zhidong Bai}, year={2000} }

Two rank tests for independence of bivariate random variables against an alternative model with weighted contamination are proposed. The model may emphasize the association of X and Y on items with high ranks in one variable (say X) and generalizes an alternative in Hajek andak (1967). The model may be applied to both complete paired data and paired data which is truncated in one variable. We derive the locally most powerful rank (LMPR) test under the alter- native setting. The proposed tests…

## 22 Citations

Rank Tests for Independence Against Weighted Alternative with Missing Values

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One of the common problems of practical importance is that of determining whether there is independence
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There are many cases in real life where n objects are ranked by two or more independent sources, when the interest is focused on situation when agreement in the top rankings is more important than…

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A branch-and-bound algorithm is proposed to find the solution(s) even when the authors take into account a relatively large number of objects to be ranked, and the solution can be employed in different analysis of rank data such as Mallow's phi model, mixtures of distance-based models, cluster analysis and so on.

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The R package pmr is presented, the first package for analyzing and modeling ranking data with a bundle of tools and provides insight to users through descriptive statistics of ranking data and various probability models for ranking data, allowing users to choose that which is most suitable to their specific situations.

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