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Using the confidence interval confidently [PDF]
Journal of Thoracic Disease, 2017 Biomedical research is seldom done with entire populations but rather with samples drawn from a population. Although we work with samples, our goal is to describe and draw inferences regarding the underlying population. It is possible to use a sample statistic and estimates of error in the sample to get a fair idea of the population parameter, not as a
A. Hazra
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Wind Power Interval Forecasting Based on Confidence Interval Optimization
Energies, 2018 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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Proceedings of the National Academy of Sciences, 1942 Not ...
Edwin B. Wilson
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Alternatives to P value: confidence interval and effect size [PDF]
Korean Journal of Anesthesiology, 2016 The previous articles of the Statistical Round in the Korean Journal of Anesthesiology posed a strong enquiry on the issue of null hypothesis significance testing (NHST).
Dong Kyu Lee
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A second-order efficient empirical Bayes confidence interval [PDF]
, 2014 We introduce a new adjusted residual maximum likelihood method (REML) in the context of producing an empirical Bayes (EB) confidence interval for a normal mean, a problem of great interest in different small area applications.
Lahiri, Partha, Yoshimori, Masayo
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The fallacy of placing confidence in confidence intervals [PDF]
Psychonomic Bulletin & Review, 2015 Interval estimates - estimates of parameters that include an allowance for sampling uncertainty - have long been touted as a key component of statistical analyses. There are several kinds of interval estimates, but the most popular are confidence intervals (CIs): intervals that contain the true parameter value in some known proportion of repeated ...
Morey, Richard D +4 more
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Sample size estimation for correlations with pre-specified confidence interval [PDF]
Tutorials in Quantitative Methods for Psychology, 2014 A common measure of association between two variables x and y is the bivariate Pearson correlation coefficient rho(x,y) that characterizes the strength and direction of any linear relationship between x and y.
Murray Moinester, Ruth Gottfried
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On construction of the smallest one-sided confidence interval for the difference of two proportions [PDF]
, 2010 For any class of one-sided $1-\alpha$ confidence intervals with a certain monotonicity ordering on the random confidence limit, the smallest interval, in the sense of the set inclusion for the difference of two proportions of two independent binomial ...
Wang, Weizhen
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Confidence with confidence intervals
Indian Journal of Ophthalmology, 1997 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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Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distribution [PDF]
PeerJ, 2022 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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