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Confidence sets having the shape of a half-space. (English) Zbl 0774.62034

Summary: For the problem of estimating the mean of a \(p\)-dimensional normal distribution, \(p>1\), confidence regions based on half-spaces bounded by a hyperplane having the vector of observations as normal are proposed. Confidence regions with exact probability of coverage are constructed. Tables are provided.

MSC:

62F25 Parametric tolerance and confidence regions
62H12 Estimation in multivariate analysis
62B05 Sufficient statistics and fields