Equivariance and Generalized Inference in Two-Sample Location-Scale Families

Sévérien Nkurunziza, Fuqi Chen
2011 Journal of Probability and Statistics  
We are interested in-typical Behrens-Fisher problem in general location-scale families. We present a method of constructing generalized pivotal quantity (GPQ) and generalizedPvalue (GPV) for the difference between two location parameters. The suggested method is based on the minimum risk equivariant estimators (MREs), and thus, it is an extension of the methods based on maximum likelihood estimators and conditional inference, which have been, so far, applied to some specific distributions. The
more » ... distributions. The efficiency of the procedure is illustrated by Monte Carlo simulation studies. Finally, we apply the proposed method to two real datasets.
doi:10.1155/2011/474826 fatcat:ybzd25egh5cdtish5tdlguenm4