Results 301 to 310 of about 1,986,171 (336)
Some of the next articles are maybe not open access.

Tests and Confidence Regions

1990
Consider the example of house prices that we saw in the last chapter. It is reasonable to ask one or more of the following questions: (a) Is the selling price affected by the number of rooms in a house, given that the other independent variables (e.g., floor area, lot size) remain the same?
Ashish Sen, Muni Srivastava
openaire   +1 more source

Regional confidence bands for ROC curves

Statistics in Medicine, 2000
The 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
openaire   +2 more sources

Minimizing the area of a Pareto confidence region

European Journal of Operational Research, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

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

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

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

Bootstrap confidence regions in multinomial sampling

Applied Mathematics and Computation, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Domingo Morales   +2 more
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

Home - About - Disclaimer - Privacy