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Confidence Regions for Multidimensional Scaling Analysis

Psychometrika, 1978
Techniques are developed for surrounding each of the points in a multidimensional scaling solution with a region which will contain the population point with some level of confidence. Bayesian credibility regions are also discussed. A general theorem is proven which describes the asymptotic distribution of maximum likelihood estimates subject to ...
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Smallest Pareto confidence regions and applications

Computational Statistics & Data Analysis, 2013
Available joint confidence sets for the parameters of the Pareto model are not the regions with minimum area. In order to determine the smallest joint confidence region among all those which are based on the minimal sufficient statistic, a computational procedure is proposed which is applicable even when some of the smallest and largest observations ...
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On the bootstrap and likelihood-based confidence regions

Biometrika, 1987
We describe a method for constructing likelihood-based confidence regions for a vector parameter, using the bootstrap and nonparametric density estimation. The technique is illustrated by application to a numerical example, and its theoretical properties are elucidated.
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Confidence Regions in Semilinear Regression