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Fixed-width confidence interval for a lognormal mean
International Journal of Mathematics and Mathematical Sciences, 2002 We consider the problem of constructing a fixed-width confidence interval for a lognormal mean. We give a Birnbaum and Healy type two-stage procedure to construct such a confidence interval. We discuss some asymptotic properties of the procedure. A three-
Makoto Aoshima, Zakkula Govindarajulu
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The power of confidence intervals [PDF]
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2002 We connect the power of Confidence Intervals in different Frequentist methods to their reliability. We show that in the case of a bounded parameter a biased method which near the boundary has large power in testing the parameter against larger alternatives and small power in testing the parameter against smaller alternatives is desirable.
GIUNTI C, LAVEDER, MARCO
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Journal of Probability and Statistics, 2015 Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals ...
Daniel Turek
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Collabra: Psychology, 2019 Based on the observation that frequentist confidence intervals and Bayesian credible intervals sometimes happen to have the same numerical boundaries (under very specific conditions), Albers et al.
Ladislas Nalborczyk +2 more
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Fractal dimension confidence interval estimation of epicentral distributions
Annals of Geophysics, 1999 Estimates of the fractal dimension of hypocentral distributions require evaluating the range of independent variables in which fractal parameters exhibit a power law.
M. Vitale +3 more
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Becoming confident about confidence intervals [PDF]
The Bone & Joint Journal, 2017 A clear understanding of variability is at the heart of many of the studies published in The Bone & Joint Journal . The terms variability, dispersion, spread, distribution and variance, amongst others, are used to refer to the range of values within a dataset.
Perry, DC +5 more
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Confidence Interval for Quantile Ratio of the Dagum Distribution
Revstat Statistical Journal, 2021 Inequality measures based on ratios of quantiles are frequently applied in economic research, especially to the analysis of income distributions. In the paper, we construct a confidence interval for such measures under the Dagum distribution which has ...
Alina Jędrzejczak +2 more
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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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An SPSS Macro to Compute Confidence Intervals for Pearsons Correlation [PDF]
Tutorials in Quantitative Methods for Psychology, 2014 In many disciplines, including psychology, medical research, epidemiology and public health, authors are required, or at least encouraged to report confidence intervals (CIs) along with effect size estimates.
Bruce Weaver, Ray Koopman
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