A General Class of Weighted Rank Correlation Measures (2001.07298v1)
Abstract: In this paper we propose a class of weighted rank correlation coefficients extending the Spearman's rho. The proposed class constructed by giving suitable weights to the distance between two sets of ranks to place more emphasis on items having low rankings than those have high rankings or vice versa. The asymptotic distribution of the proposed measures and properties of the parameters estimated by them are studied through the associated copula. A simulation study is performed to compare the performance of the proposed statistics for testing independence using asymptotic relative efficiency calculations.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run custom paper prompts using GPT-5 on this paper.