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Nonparametric Confidence and Tolerance Regions in Canonical Variate Analysis
Biometrics, 1989Canonical variate analysis is a much-used descriptive multivariate technique for grouped data, in which the group means are represented by points in a low(typically two-) dimensional space. If inferential use is to be made of the technique, some knowledge of the variability of these points under repeated sampling is necessary.
W. J. Krzanowski, D. Radley
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Adsorption equilibrium models: Computation of confidence regions of parameter estimates
Chemical Engineering Research and Design, 2018Elisa Barbosa-Coutinho +2 more
exaly
Multiresponse Process Optimization via Constrained Confidence Regions
Journal of Quality Technology, 1996Enrique Del Castillo
exaly
Guaranteed non-asymptotic confidence regions in system identification
Automatica, 2005Marco Campi, Erik Weyer
exaly
Segmentation and estimation of change-point models: False positive control and confidence regions
Annals of Statistics, 2020Xiao Fang
exaly
On the accuracy of empirical likelihood confidence regions for linear regression model
Annals of the Institute of Statistical Mathematics, 1993Song Xi Chen
exaly
Common and specific brain regions in high- versus low-confidence recognition memory
Brain Research, 2009Hongkeun Kim
exaly
Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics
Automatica, 2009Marco C Campi, Sangho Ko, Erik Weyer
exaly

