Results 271 to 280 of about 7,629,903 (299)
Some of the next articles are maybe not open access.

Confidence Regions in Models of Ordered Data

Journal of Statistical Theory and Practice, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bedbur, S., Lennartz, J. M., Kamps, U.
openaire   +1 more source

On confidence regions in canonical variate analysis

Biometrika, 1989
Canonical 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.
openaire   +2 more sources

Building confidence regions for the ROC surface

Pattern Recognition Letters, 2014
The 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
openaire   +1 more source

Approximate Confidence Regions

2013
The 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.
openaire   +1 more source

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 ...
openaire   +1 more source

Tests and Confidence Regions

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.
openaire   +1 more source

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 ...
openaire   +2 more sources

Restricted minimum volume confidence region for Pareto distribution

Statistical Papers, 2018
Fen Jiang, Junmei Zhou, Jin Zhang
semanticscholar   +1 more source

Confidence Regions in Semilinear Regression

Biometrika, 1991
MARK KNOWLES   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy