On the binomial confidence interval and probabilistic robust control [PDF]
Automatica, 2004 6 pages, 1 ...
Xinjia Chen, Kemin Zhou, J.L. Aravena
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, 2020 A R T I C L E I N F O A B S T R A C T Article history: Received: 26 March, 2020 Accepted: 29 May, 2020 Online: 18 June, 2020 We proposed two robust confidence interval estimators, namely, the median interquartile range confidence interval (MDIQR) and the
Juthaphorn Sinsomboonthong +2 more
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Evaluation of jackknife and bootstrap for defining confidence intervals for pairwise agreement measures. [PDF]
PLoS ONE, 2011 Several research fields frequently deal with the analysis of diverse classification results of the same entities. This should imply an objective detection of overlaps and divergences between the formed clusters. The congruence between classifications can
Ana Severiano +4 more
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On the Binomial Confidence Interval and Probabilistic Robust Control [PDF]
published in Automatica, vol. 40, pp. 1787-1789, 2004, 2008 The Clopper-Pearson confidence interval has ever been documented as an exact approach in some statistics literature. More recently, such approach of interval estimation has been introduced to probabilistic control theory and has been referred as non-conservative in control community.
Xinjia Chen, Kemin Zhou, J.L. Aravena
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A simple and robust confidence interval for causal effects with possibly invalid instruments [PDF]
arXiv, 2015 Instrumental variables have been widely used to estimate the causal effect of a treatment on an outcome. Existing confidence intervals for causal effects based on instrumental variables assume that all of the putative instrumental variables are valid; a valid instrumental variable is a variable that affects the outcome only by affecting the treatment ...
Hyunseung Kang +2 more
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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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Robust Confidence Intervals in Stereo Matching using Possibility Theory [PDF]
arXivWe propose a method for estimating disparity confidence intervals in stereo matching problems. Confidence intervals provide complementary information to usual confidence measures. To the best of our knowledge, this is the first method creating disparity confidence intervals based on the cost volume.
Roman Malinowski +4 more
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Partial identification and dependence-robust confidence intervals for capture-recapture surveys
, 2020 Capture-recapture (CRC) surveys are widely used to estimate the size of a population whose members cannot be enumerated directly. When $k$ capture samples are obtained, counts of unit captures in subsets of samples are represented naturally by a $2^k ...
Crawford, Forrest W. +3 more
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Confidence Interval Based Distributionally Robust Real-Time Economic Dispatch Approach Considering Wind Power Accommodation Risk [PDF]
IEEE Transactions on Sustainable Energy, 2020 This article proposes a confidence interval based distributionally robust real-time economic dispatch (CI-DRED) approach, which considers the risk related to accommodating wind power. In this article, only the wind power curtailment and load shedding due
Peng Li, Ming Yang, Qiuwei Wu
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Robust misinterpretation of confidence intervals
Psychonomic Bulletin & Review, 2013 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
R. Hoekstra +3 more
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