|
Organizers |
Locally Most Powerful and Other Rank Tests for Independence-with a contaminated weighted alternative
by
Parameshwar V. Pandit
Dept. of Statistics, Karnatak Arts College,Dharwad-580001, India
The quantification of the concept of stochastic dependence for bivariate distribution has been attempted by several authors in the literature. Two weighted rank tests for testing independence against a weighted contamination alternative is proposed and their distributional properties are studied. We also derived a locally most powerful rank test for the alternative setting. The rank tests proposed are shown to be asymptotic locally most powerful for specific distributions.
Keywords and Phrases: Weighted rank tests, Independence tests, locally most powerful rank tests.
Date received: September 10, 2002
Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cais-13.