Simulation comparison of modified confidence intervals based on robust estimators for coefficient of variation: skewed distributions case with real applications [PDF]
Arab Journal of Basic and Applied SciencesIn this article, we propose confidence intervals for the population coefficient of variation based on some robust estimators such as trimmed mean, winsorized mean, Hodges-Lehmann estimator and trimean.
Hayriye E. Akyüz +2 more
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A Conditional-Heteroskedasticity-Robust Confidence Interval for the Autoregressive Parameter [PDF]
Review of Economics and Statistics, 2011 This paper introduces a new confidence interval (CI) for the autoregressive parameter (AR) in an AR(1) model that allows for conditional heteroskedasticity of general form and AR parameters that are less than or equal to unity. The CI is a modification of Mikusheva's (2007a) modification of Stock's (1991) CI that employs the least squares estimator and
Donald W. K. Andrews +1 more
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Clinical Chemistry Reference Intervals for Health Assessment in Wild Adult Harbour Seals [PDF]
AnimalsReference intervals for clinical chemistry blood parameters are valuable for both individual diagnostics for animals in managed or veterinary care, and for evaluating wild population health.
Ailsa J. Hall +6 more
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ROBUSTNESS OF WILKS' CONSERVATIVE ESTIMATE OF CONFIDENCE INTERVALS [PDF]
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,
Jan Peter Hessling, Jeffrey Uhlmann
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Estimators of the multiple correlation coefficient: local robustness and confidence intervals. [PDF]
Statistical Papers, 2003 Many robust regression estimators are defined by minimizing a measure of spread of the residuals. An accompanying R-2-measure, or multiple correlation coefficient, is then easily obtained.
Croux, Christophe, Dehon, C
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Robust misinterpretation of confidence intervals
Psychonomic Bulletin & Review, 2014 Null hypothesis significance testing (NHST) is undoubtedly the most common inferential technique used to justify claims in the social sciences. However, even staunch defenders of NHST agree that its outcomes are often misinterpreted. Confidence intervals (CIs) have frequently been proposed as a more useful alternative to NHST, and their use is strongly
Rink Hoekstra +3 more
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A Robust Confidence Interval for Location for Symmetric, Long-Tailed Distributions [PDF]
Proceedings of the National Academy of Sciences, 1973 A procedure called the wave-interval is presented for obtaining a 95% confidence interval for the center (mean, median) of a symmetric distribution that is not only highly efficient when the data have a Normal distribution but also performs well when some or all of the data come from a long-tailed distribution such as the Cauchy.
Alan M. Gross
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Correction of Mason, F., Cantoni, E., & Ghisletta, P. (2021). Parametric and Semi-Parametric Bootstrap-Based Confidence Intervals for Robust Linear Mixed Models [PDF]
Methodology, 2022 The Journal Editor
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Robust inference for the unification of confidence intervals in meta-analysis [PDF]
Journal of Nonparametric StatisticsTraditional meta-analysis assumes that the effect sizes estimated in individual studies follow a Gaussian distribution. However, this distributional assumption is not always satisfied in practice, leading to potentially biased results. In the situation when the number of studies, denoted as K, is large, the cumulative Gaussian approximation errors from
Wei Liang +3 more
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Model validation for a noninvasive arterial stenosis detection problem [PDF]
Mathematical Biosciences and Engineering, 2013 A current thrust in medical research is the development of a non-invasive method for detection, localization, and characterization of an arterial stenosis (a blockage or partial blockage in an artery).
H. Thomas Banks +8 more
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