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Scandinavian Actuarial Journal, 1966
Abstract Let x = (x 1 ..., x n)′ be an n-dimensional normally distributed stochastic vector with mean m = (m 1 ..., m n)′ belonging to a subspace M of Rn and with covariance matrix C. It is well known how to obtain simultaneous confidence intervals for a class of linear functionals of the mean in different contexts.
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Fuzzy confidence intervals

Fuzzy Sets and Systems, 1983
Fuzzy numbers have heretofore been conceived simply as convex fuzzy subsets of the real line, especially in the context of possibility theory. This paper proposes an alternative interpretation of fuzzy numbers: fuzzy confidence intervals. This number concept is particularly appropriate to problems of optimization with a fuzzy objective function or ...
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Generalized Confidence Intervals

Journal of the American Statistical Association, 1993
Abstract The definition of a confidence interval is generalized so that problems such as constructing exact confidence regions for the difference in two normal means can be tackled without the assumption of equal variances. Under certain conditions, the extended definition is shown to preserve a repeated sampling property that a practitioner expects ...
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How do I interpret a confidence interval?

Transfusion, 2016
S. O’Brien, Q. Yi
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CONFIDENCE INTERVALS