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Statistical Methods for Fuzzy Data by Reinhard Viertl

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12.1 Confidence functions

In order to construct confidence regions (i.e. subsets Θ1−α of the parameter space Θ) which contain the true parameter θ0 with high probability 1 − α (where α is a very small positive number) so-called confidence functions are used. A confidence function

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is a function which assigns to every sample x1,…, xn a subset Θ1−α of Θ such that for a mathematical sample X1,…, Xn of the observed stochastic quantity X the following is true:

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For α a value of 0.05 or 0.01 is usually taken. Therefore the so-called coverage probability is 1 − α.

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