Nonparametric Hypotheses and Rank Tests

Manfred Denker

University of Gottingen

Arnold and Akritas introduced the concept of nonparametric hypothesis testing for factorial designs by splitting the distribution function rather than the observation into 'effects'. Rank tests are a natural type of statistics for this inference. We discuss asymptotic results, normality and the bootstrap, for these statistics and give applications to longitudinal data (e.g. in clinical studies) and bootstrap confidence intervals (e.g. in financial markets).

Refreshments: 3:30 - 4:00 p.m. Friday, March 20, at 327 Yost
Talk: 4:00 - 5:00 p.m. Friday, March 20, at 327 Yost.

Questions? jiayang@sun.cwru.edu
Wed Aug 13 13:54:29 EDT 1997