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Characterizations and Goodness of Fit Tests
Federico J. O'Reilly and Michael A. Stephens
Journal of the Royal Statistical Society. Series B (Methodological)
Vol. 44, No. 3 (1982), pp. 353-360
Stable URL: http://www.jstor.org/stable/2345491
Page Count: 8
You can always find the topics here!Topics: Statistics, Applied statistics, Goodness of fit, Statism, Distributivity, Uniformity, Mathematical problems, Mathematical procedures, Conditional probabilities
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In this article a systematic approach to providing goodness of fit tests is discussed, for the composite goodness of fit problem of testing that the distribution F of a random sample comes from a parametric family F0. Characterization procedures are emphasized, and it is shown that, at least for the exponential case, invariant characterizations appear to be better than those which are not invariant. A general technique is developed for producing invariant characterizations and for the exponential case it is shown how these are related to characterizations already in the literature. Power studies are given to examine the tests based on both invariant and non-invariant characterizations.
Journal of the Royal Statistical Society. Series B (Methodological) © 1982 Royal Statistical Society