Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10525234 | Journal of Statistical Planning and Inference | 2005 | 17 Pages |
Abstract
A robust slippage test problem of k location parameters in the presence of gross errors is formulated from the point of view of Huber's robust test theory. Under an asymptotic model of the robust slippage test problem an asymptotic level α slippage rank test based on k linear rank statistics is constructed by applying majorization methods and its asymptotic minimum power is evaluated by applying weak majorization methods. It is also shown that the slippage rank test is asymptotically unbiased.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Itsuro Kakiuchi, Miyoshi Kimura,