Results 291 to 300 of about 1,317,921 (340)

Robust Confidence Intervals for Regression Parameters

Australian & New Zealand Journal of Statistics, 1998
The paper considers the problem of finding accurate small sample confidence intervals for regression parameters. Its approach is to construct conditional intervals with good robustness characteristics. This robustness is obtained by the choice of the density under which the conditional interval is computed.
C. Field, A. Welsh
semanticscholar   +4 more sources

ROBUST CONFIDENCE INTERVALS IN LINEAR REGRESSION

, 2011
Although it is many studies with respect to robust regression methods, there is a few studies with robust confidence interval and tests in the literature. Many of these studies are respect to confidence interval of location parameter.
M. Çetin, Tuba Kavruk
semanticscholar   +4 more sources

Robust Confidence Intervals for a Location Parameter: The Configural Approach

Journal of the American Statistical Association, 1986
A conditional approach to robustness is described and applied to interval estimation for a location parameter. Two new types of confidence interval estimators using two-dimensional numerical integrations within location-and-scale configurations emerge ...
S. Morgenthaler
semanticscholar   +3 more sources

Robust confidence intervals for the process capability index Cpk with bootstrap improvement

Quality Engineering, 2023
The process capability index (PCI), Cpk, one of the widely used tools for assessing the capability of a manufacturing process, expresses the deviation of the process mean from the midpoint of the specification limits.
Linhan Ouyang, S. Dey, Chanseok Park
semanticscholar   +1 more source

A Robust Confidence Interval for Location

Technometrics, 1987
Robust estimation procedures have been the subject of a large number of comparative studies. Less attention has been paid to confidence intervals and tests based on these procedures and to cases in which the underlying distribution is nonsymmetric. This article investigates the properties of just one interval M estimator of location.
Charles E. du Mond, Russell V. Lenth
openaire   +2 more sources

Robust confidence interval for the variance

Journal of Statistical Computation and Simulation, 1999
In this paper six confidence intervals for the variance of a distribution are proposed. Extensive simulation study is performed to evaluate the performance of the intervals. A confidence interval based on an L-estimate of scale is found to be robust; in otherwords, regardless of the sample size and the distribution considered in the study, its actual ...
S. Jeyaratnam, Abdelrahim M. Barham
openaire   +2 more sources

Robust multiple confidence intervals for contrasts

Computational Statistics & Data Analysis, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martin Bachmaier, Manfred Precht
openaire   +3 more sources

Confidence intervals based on robust regression

Journal of Statistical Planning and Inference, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Julie Zhou, Chris Field
openaire   +3 more sources

ROBUSTNESS OF WILKS' CONSERVATIVE ESTIMATE OF CONFIDENCE INTERVALS

International Journal for Uncertainty Quantification, 2015
The striking generality and simplicity of Wilks’ method has made it popular for quantifying modeling uncertainty. A conservative estimate of the confidence interval is obtained from a very limited set of randomly drawn model sample values, with probability set by the assigned so-called stability. In contrast, the reproducibility of the estimated limits,
Jeffrey Uhlmann, J P Hessling
openaire   +2 more sources

Model robust confidence intervals using maximum likelihood estimators

, 1986
La «methode delta» fournit un estimateur alternatif simple de la variance qui demeure consistant sous des conditions plus generales et qui donne par consequent des intervalles de confiance ...
R. Royall
semanticscholar   +1 more source