Results 11 to 20 of about 1,356,793 (315)

Performance of Robust Confidence Intervals for Estimating Population Mean Under Both Non-Normality and in Presence of Outliers

, 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, Moustafa Omar Ahmed Abu‐Shawiesh, B. M. Golam Kibria   +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 Sciences
In 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, Moustafa O. A. Abu-Shawiesh, Bhuiyan M. G. Kibria   +2 more
doaj   +2 more sources

Robust Neighborhood Confidence Interval and Width to Evaluate the Outcome of a Binary Random Variable of Unequal Cluster Sizes

Journal of Biostatistics and Epidemiology
Bachground :While the main advantage of the confidence interval is that it enables more precise evaluations when the risk for the outcome of interest is related to the cluster size, the predicted confidence interval width demonstrates the degree of ...
Tareef Fadhil Raham, Zaher Fadhil Raham, Abdulkhaleq Abduljabbar Ali Ghalib Al-Naqeeb   +2 more
doaj   +2 more sources

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 statistics, hypothesis testing, and confidence intervals for persistent homology on metric measure spaces

Foundations of Computational Mathematics, 2012
We study distributions of persistent homology barcodes associated to taking subsamples of a fixed size from metric measure spaces. We show that such distributions provide robust invariants of metric measure spaces and illustrate their use in hypothesis ...
Andrew J. Blumberg, Itamar Gal, Michael A. Mandell, Matthew Pancia   +3 more
openalex   +3 more sources

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, Shuhua Hu, Zackary R. Kenz, Carola Kruse, Simon Shaw, John Whiteman, Mark P. Brewin, Stephen E. Greenwald, Malcolm J. Birch   +8 more
doaj   +2 more sources

Plasma metabolites and endometrial cancer: elucidating causal associations through Mendelian randomization [PDF]

Discover Oncology
Background While observational studies have suggested associations between gut microbiota composition, metabolomic alterations, and endometrial cancer risk, the causal nature of these relationships remains unclear due to potential confounding factors and
Songlin Xue, Kaihua Wu, Qinyuan He, Yanwei Zhang, Minmin Yu   +4 more
doaj   +2 more sources

Which average, how many grains, and how to estimate robust confidence intervals in unimodal grain size populations

Journal of Structural Geology, 2020
Marco A. López-Sánchez
openalex   +3 more sources

Globally Robust Confidence Intervals for Location

, 2012
M. Ershadul Haque, Jafar A Khan
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Huber-Robust Confidence Sequences [PDF]

International Conference on Artificial Intelligence and Statistics, 2023
Confidence sequences are confidence intervals that can be sequentially tracked, and are valid at arbitrary data-dependent stopping times. This paper presents confidence sequences for a univariate mean of an unknown distribution with a known upper bound ...
Hongjian Wang, Aaditya Ramdas
semanticscholar   +1 more source