We consider permutation tests based on a likelihood ratio like statistic for the one way or k‐sample design where the observations are l‐dimensional vectors. This generalizes both the univariate k‐sample case and the two sample multivariate case used in the examples of Kolassa and Robinson. We also give a saddlepoint approximation for the permutation test. Numerical examples are given to illustrate the accuracy of the saddlepoint approximation and the improvement in the power of the tests compared to the classical statistics in the case of long tailed error distributions and no loss of power for normal error distributions.
Australian & New Zealand Journal of Statistics – Wiley
Published: Jan 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera