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Confidence Regions in Models of Ordered Data
Journal of Statistical Theory and Practice, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bedbur, S., Lennartz, J. M., Kamps, U.
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On confidence regions in canonical variate analysis
Biometrika, 1989Canonical variate analysis finds for multivariate data in which sample members come from several groups those linear combinations of the original variables, termed the canonical variates, which successively maximize between-groups variances relative to within-group variances.
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Building confidence regions for the ROC surface
Pattern Recognition Letters, 2014The ROC surface is the major criterion for assessing the accuracy of diagnosis test statistics s(X) in regard to their capacity of discriminating between K>=3 statistical populations. It provides additionally a widely used visual tool in the cases K=2 and K=3.
Stéphan Clémençon, Sylvain Robbiano
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Approximate Confidence Regions
2013The problem of the approximate confidence regions is discussed, under the light of the introduced measures of nonlinearity. The first order autoregressive model and Michaelis–Menten are discussed as particular cases.
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Smallest Pareto confidence regions and applications
Computational Statistics & Data Analysis, 2013Available 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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1994
Although testing theory can be perceived as a special case of Decision Theory for a restricted decision space (and even as an estimation problem), we consider testing inference in a separate chapter because there is much more ambiguity about the real inferential purpose of testing than when estimating a regular function of the parameter.
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Although testing theory can be perceived as a special case of Decision Theory for a restricted decision space (and even as an estimation problem), we consider testing inference in a separate chapter because there is much more ambiguity about the real inferential purpose of testing than when estimating a regular function of the parameter.
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Confidence Regions for Multidimensional Scaling Analysis
Psychometrika, 1978Techniques 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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Restricted minimum volume confidence region for Pareto distribution
Statistical Papers, 2018Fen Jiang, Junmei Zhou, Jin Zhang
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Confidence Regions in Semilinear Regression
Biometrika, 1991MARK KNOWLES +2 more
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