Results 21 to 30 of about 782,515 (314)
Atmosphere, 2022 Atmospheric mercury emission scenarios from artisanal and small-scale gold mining for 56 tropical and subtropical countries have been elaborated and assessed for their comparative significance.
Delia Evelina Bruno +5 more
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Applied Sciences, 2023 Cuffless blood pressure (BP) monitoring is crucial for patients with cardiovascular disease and hypertension. However, conventional BP monitors provide only single-point estimates without confidence intervals.
Soojeong Lee +4 more
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Robust Estimation of Carbon Monoxide Measurements
Sensors, 2020 This paper presents a robust analysis of carbon monoxide (CO) concentration measurements conducted at the Belisario air-quality monitoring station (Quito, Ecuador).
Wilmar Hernandez, Alfredo Mendez
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IEEE Access, 2023 Respiratory rate monitoring has become necessary for people with respiratory diseases, especially those living alone. Sudden changes in respiratory rate (RR) in these individuals may indicate a severe illness.
Soojeong Lee, Gangseong Lee
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Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs [PDF]
Econometrica, 2014 In the regression-discontinuity (RD) design, units are assigned to treatment based on whether their value of an observed covariate exceeds a known cutoff. In this design, local polynomial estimators are now routinely employed to construct confidence intervals for treatment effects. The performance of these confidence intervals in applications, however,
Calonico, Sebastian +2 more
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Do metabolic factors increase the risk of thyroid cancer? a Mendelian randomization study
Frontiers in Endocrinology, 2023 BackgroundEpidemiological studies emphasize the link between metabolic factors and thyroid cancer. Using Mendelian randomization (MR), we assessed the possible causal impact of metabolic factors on thyroid cancer for the first time.MethodsSummary ...
Weiwei Liang, FangFang Sun
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A simple remedy for overprecision in judgment [PDF]
Judgment and Decision Making, 2010 Overprecision is the most robust type of overconfidence. We present a new method that significantly reduces this bias and offers insight into its underlying cause.
Uriel Haran +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, Patrik Guggenberger
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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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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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