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Regional confidence bands for ROC curves
Statistics in Medicine, 2000The performance of a diagnostic test is characterised by its specificity and sensitivity. For a quantitative diagnostic test these criteria depend on the selected cut-off point. The receiver operating characteristic (ROC) curve of a quantitative diagnostic test is generated by plotting sensitivity against specificity as the cut-off point runs through ...
K, Jensen, H H, Müller, H, Schäfer
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Regional Concentration and Confidence Regions
2015Industries necessarily differ with respect to their type of geographical concentration. When some industries are overrepresented in urban areas (urban concentration), then some other industries must be overrepresented in rural areas (rural concentration).
Stepanyan, Andranik +2 more
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Minimizing the area of a Pareto confidence region
European Journal of Operational Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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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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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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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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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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On the bootstrap and likelihood-based confidence regions
Biometrika, 1987We 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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