Results 11 to 20 of about 666,183 (322)
Dependence-Robust Confidence Intervals for Capture–Recapture Surveys [PDF]
J Surv Stat Methodol, 2022 Abstract Capture–recapture (CRC) surveys are used to estimate the size of a population whose members cannot be enumerated directly. CRC surveys have been used to estimate the number of Coronavirus Disease 2019 (COVID-19) infections, people who use drugs, sex workers, conflict casualties, and trafficking victims.
Jinghao Sun +3 more
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Bootstrapping Confidence Intervals For Robust Measures Of Association [PDF]
Journal of Modern Applied Statistical Methods, 2003 A Monte Carlo simulation study compared four bootstrapping procedures in generating confidence intervals for the robust Winsorized and percentage bend correlations.
Jason E. King
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Bootstrap Confidence Intervals for 11 Robust Correlations in the Presence of Outliers and Leverage Observations [PDF]
Methodology, 2022 Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s correlation (r) is a widely-employed statistic for assessing bivariate linearity.
Johnson Ching-Hong Li
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Robust Empirical Bayes Confidence Intervals [PDF]
Econometrica, 2022 We construct robust empirical Bayes confidence intervals (EBCIs) in a normal means problem. The intervals are centered at the usual linear empirical Bayes estimator, but use a critical value accounting for shrinkage. Parametric EBCIs that assume a normal distribution for the means (Morris (1983b)) may substantially undercover when this assumption is ...
Timothy B. Armstrong +2 more
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Robust Confidence Intervals for PM2.5 Concentration Measurements in the Ecuadorian Park La Carolina [PDF]
Sensors, 2020 In this article, robust confidence intervals for PM2.5 (particles with size less than or equal to 2.5 μ m ) concentration measurements performed in La Carolina Park, Quito, Ecuador, have been built.
Wilmar Hernandez +3 more
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Journal of Modern Applied Statistical Methods, 2020 In this paper, three robust confidence intervals are proposed as alternatives to the Student t confidence interval. The performance of these intervals was compared through a simulation study shows that Qn-t confidence interval performs the best and it is as good as Student’s t confidence interval. Real-life data was used for illustration and performing
Moustafa Omar Ahmed Abu‐Shawiesh +1 more
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Confidence intervals for robust estimates of measurement uncertainty [PDF]
Accreditation and Quality Assurance, 2020 AbstractUncertainties arising at different stages of a measurement process can be estimated using analysis of variance (ANOVA) on duplicated measurements. In some cases, it is also desirable to calculate confidence intervals for these uncertainties. This can be achieved using probability models that assume the measurement data are normally distributed.
Peter D. Rostron +2 more
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On the Binomial Confidence Interval and Probabilistic Robust Control [PDF]
Automatica, 2008 6 pages, 1 ...
Xinjia Chen, Kemin Zhou, J.L. Aravena
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Correction to: Confidence intervals for robust estimates of measurement uncertainty [PDF]
Accreditation and Quality Assurance, 2021 The notations Fp,ν1,ν2 and χ2p,ν in Eqs. (1), (2) and (3)
Peter D. Rostron +2 more
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Globally Robust Confidence Intervals for Location
Dhaka University Journal of Science, 2012 Classical inference considers sampling variability to be the only source of uncertainty, and does not address the issue of bias caused by contamination. Naive robust intervals replace the classical estimates by their robust counterparts without considering the possible bias of the robust point estimates. Consequently, the asymptotic coverage proportion
M. Ershadul Haque, Jafar A Khan
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