Results 181 to 190 of about 9,117 (218)
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THE CALCULATION OF CONFIDENCE REGIONS FOR EIGENVECTORS
Australian Journal of Statistics, 1984summaryAn explicit algorithm is given for constructing a confidence region on the appropriate unit sphere for an eigenvector, given a large sample. It is assumed the eigenvector corresponds to the largest eigenvalue of ExxT, a matrix with distinct eigenvalues, and that the estimation uses n‐1S̀xixixT.
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Confidence regions of planar cardiac vectors
Journal of Electrocardiology, 1980A method is presented for plotting the 90%, 95%, and 99% confidence regions of planar cardiac vectors based on the bivariate normal distribution.
S, Dubin, A, Herr, P, Hunt
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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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Bootstrap confidence regions in multinomial sampling
Applied Mathematics and Computation, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Domingo Morales +2 more
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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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