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Confidence interval is a measure that provides to evaluate the difference between the means or proportions of compared groups is statistically significant.
Selim Kılıc
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Confidence with confidence intervals
When considering the results of a study that reports one treatment to be better than another, what the practicing ophthalmologist really wants to know is the magnitude of the difference between treatment groups. If this difference is large enough, we may
Thomas Ravi +3 more
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Wind Power Interval Forecasting Based on Confidence Interval Optimization
Most of the current wind power interval forecast methods are based on the assumption the point forecast error is subject to a known distribution (such as a normal distribution, beta distribution, etc.).
Xiaodong Yu +3 more
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Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distribution [PDF]
Air pollution is a growing concern for the general public in Thailand with PM 2.5 (particulate matter ≤ 2.5 µm) having the greatest impact on health. The inverse Gaussian (IG) distribution is used for examining the frequency of high concentration events ...
Wasana Chankham +2 more
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Effect of confidence interval construction on judgment accuracy [PDF]
Three experiments (N = 550) examined the effect of an interval construction elicitation method used in several expert elicitation studies on judgment accuracy.
David R. Mandel +3 more
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Modified Clopper-Pearson Confidence Interval for Binomial Proportion [PDF]
We introduce expected coverage probability as a measure for constructing confidence intervals for the binomial proportion, p. We propose a model based confidence interval for p using the expected coverage probabilities of the Clopper-Pearson interval ...
Desale Habtzghi +2 more
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Confidence Intervals for Seroprevalence
This paper concerns the construction of confidence intervals in standard seroprevalence surveys. In particular, we discuss methods for constructing confidence intervals for the proportion of individuals in a population infected with a disease using a sample of antibody test results and measurements of the test's false positive and false negative rates.
DiCiccio, Thomas J. +3 more
openaire +2 more sources
Estimation methods for the variance of Birnbaum-Saunders distribution containing zero values with application to wind speed data in Thailand [PDF]
Thailand is currently grappling with a severe problem of air pollution, especially from small particulate matter (PM), which poses considerable threats to public health.
Natchaya Ratasukharom +2 more
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scikit-learn-contrib/forest-confidence-interval: Version 0.6
Confidence intervals for scikit-learn forest ...
manoj kumar +15 more
core +1 more source
Establishment of Reference Interval of Serum Prolactin in an Indian Population [PDF]
Background: Reference data on serum prolactin levels based on a representative Indian sample are still lacking. The western normative laboratory values used for clinical diagnosis may not be applicable to Indian population. The objective of the study
Kapil Deb Lahiri +3 more
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