Maximal Invariants For Lorentz Wishart Models

Mathematics – Statistics Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

14 pages

Scientific paper

In this paper we consider two statistical hypotheses for the families of Wishart type distributions. These distributions are analogs of the Wishart distributions defined and parametrized over a Lorentz cone. We test these hypotheses by means of maximal invariant statistics which are explicitly derived in the paper. The testing problems, respectively, concern the hypothesis that parameters are in a sub-Lorentz-cone, and the the hypothesis that two observations have the same parameter.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Maximal Invariants For Lorentz Wishart Models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Maximal Invariants For Lorentz Wishart Models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Maximal Invariants For Lorentz Wishart Models will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-262230

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.