Results 21 to 30 of about 617,011 (320)
Robust Confidence Intervals for Effect Size in the Two-Group Case [PDF]
The probability coverage of intervals involving robust estimates of effect size based on seven procedures was compared for asymmetrically trimming data in an independent two-groups design, and a method that symmetrically trims the data.
H. J. Keselman+2 more
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CESER: An R Package to Compute Cluster Estimated Standard Errors
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
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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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]
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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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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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
doaj +1 more source
Robust Estimation of Carbon Monoxide Measurements
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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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 misinterpretation of confidence intervals
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
Hoekstra, R.+3 more
openaire +8 more sources