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- A New Method for Constructing Exact Tests without Making any Assumptions
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- Abstract:
- We present a new method for constructing exact distribution-free tests (and con
fidence intervals) for variables that can generate more than two possible outcomes.
This method separates the search for an exact test from the goal to create a non-
randomized test. Randomization is used to extend any exact test relating to means
of variables with fi
nitely many outcomes to variables with outcomes belonging to a
given bounded set. Tests in terms of variance and covariance are reduced to tests
relating to means. Randomness is then eliminated in a separate step.
This method is used to create con
fidence intervals for the difference between two
means (or variances) and tests of stochastic inequality and correlation.
- Subject Area:
- Statistical Theory and Methods
- Suggested Citation:
- Karl H. Schlag,
"A New Method for Constructing Exact Tests without Making any Assumptions"
(August 2008).
COBRA Preprint Series.
Article 58.
http://biostats.bepress.com/cobra/ps/art58