Results 31 to 40 of about 666,183 (322)
Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs [PDF]
, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sebastián Calónico +2 more
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Robust confidence intervals for meta-regression with interaction effects [PDF]
Computational StatisticsAbstractMeta-analysis is an important statistical technique for synthesizing the results of multiple studies regarding the same or closely related research question. So-called meta-regression extends meta-analysis models by accounting for study-level covariates.
Maria Thurow +4 more
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Robust Confidence Intervals for Autocorrelations of Stationary Time Series
This paper develops a simple and new approach for testing linear hypotheses about autocorrelations for time series with general stationary serial correlation structures. A practically important special case is the computation of robust confidence intervals for individual autocorrelations that do not require resampling methods.
Hwang, Taeyoon, Vogelsang, Timothy J.
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CESER: An R Package to Compute Cluster Estimated Standard Errors
Journal of Open Research Software, 2021 This paper presents an implementation in R of the Cluster Estimated Standard Errors (CESE) proposed by [12]. The method estimates the covariance matrix of the estimated coefficients of linear models in grouped data sets with correlation among ...
Diogo Ferrari
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Confidence interval methods for antimicrobial resistance surveillance data
Antimicrobial Resistance and Infection Control, 2021 Background Antimicrobial resistance (AMR) is one of the greatest global health challenges today, but burden assessment is hindered by uncertainty of AMR prevalence estimates.
Erta Kalanxhi +3 more
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Sensors, 2021 This paper analyzes 12 years of tropospheric ozone (O3) concentration measurements using robust techniques. The measurements were taken at an air quality monitoring station called Belisario, which is in Quito, Ecuador; the data collection time period was
Wilmar Hernandez +4 more
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Contrasting diversity values: statistical inferences based on overlapping confidence intervals. [PDF]
PLoS ONE, 2013 Ecologists often contrast diversity (species richness and abundances) using tests for comparing means or indices. However, many popular software applications do not support performing standard inferential statistics for estimates of species richness and ...
Ian MacGregor-Fors, Mark E Payton
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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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