Results 281 to 290 of about 666,183 (322)

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 ...
Abdelrahim M. Barham, S. Jeyaratnam
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Robust generalized confidence intervals

Communications in Statistics - Simulation and Computation, 2016
ABSTRACTMost interval estimates are derived from computable conditional distributions conditional on the data.
Weiyan Mu, Shifeng Xiong
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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
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Model robust confidence intervals

Journal of Statistical Planning and Inference, 1982
Abstract Confidence intervals are constructed for real-valued parameter estimation in a general regression model with normal errors. When the error variance is known these intervals are optimal (in the sense of minimizing length subject to guaranteed probability of coverage) among all intervals estimates which are centered at a linear estimate of the
Knafl, G., Sacks, J., Ylvisaker, D.
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Robust Confidence Intervals for the Bernoulli Parameter

Communications in Statistics - Theory and Methods, 2009
Despite the simplicity of the Bernoulli process, developing good confidence interval procedures for its parameter—the probability of success p—is deceptively difficult. The binary data yield a discrete number of successes from a discrete number of trials, n.
Wheyming Tina Song, Chia-Jung Chang, Sin-Long Liu   +2 more
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Robust multiple confidence intervals for contrasts

Computational Statistics & Data Analysis, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bachmaier, Martin, Precht, Manfred
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Confidence intervals based on robust regression

Journal of Statistical Planning and Inference, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Field, Christopher, Zhou, Julie
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Approximate Confidence Intervals for a Robust Scale Parameter

Psychometrika, 1980
A recent paper by Wainer and Thissen has renewed the interest in Gini’s mean difference, G, by pointing out its robust characteristics. This note presents distribution-free asymptotic confidence intervals for its population value, γ, in the one sample case and for the difference Δ = (γ1 − γ2) in the two sample situations. Both procedures are based on a
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A note on exact robust confidence intervals for location

Biometrika, 1979
SUMMARY The use of a simple permutation argument to set exact confidence limits for the location parameter of a symmetric distribution is described. The argument is applied to estimates based on original observations and on ranks and to M-estimates. Some key word8: Exact confidence limit; Location estimate; M-estimate; Ranks; Robustness.
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Robust confidence intervals for the center of a symmetric distribution

Journal of Statistical Computation and Simulation, 1989
This paper gives critical values that can be used to construct a confidence interval for the center of a distribution, based on one of several robust estimators of location. The estimators studied include two hubers (tuning constants 1.0 and 1.5), two bisquares (constants 6.0 and 7.5), and three trimmed means (15%, 20%, and 25%).
R.V. Lenth, A.R. Padmanabhan
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