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The Shortest Clopper–Pearson Randomized Confidence Interval for Binomial Probability
Revstat Statistical Journal, 2017 Zieli´nski (2010) showed the existence of the shortest Clopper–Pearson confidence interval for binomial probability. The method of obtaining such an interval was presented as well. Unfortunately, the confidence interval obtained has one disadvantage: it
Wojciech Zieliński
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Fletcher-Turek Model Averaged Profile Likelihood Confidence Intervals [PDF]
, 2014 We evaluate the model averaged profile likelihood confidence intervals proposed by Fletcher and Turek (2011) in a simple situation in which there are two linear regression models over which we average. We obtain exact expressions for the coverage and the
Abeysekera, Waruni +2 more
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Generating confidence intervals on biological networks
BMC Bioinformatics, 2007 Background In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interacting nodes. The structure of the network may introduce dependencies among the
Stumpf Michael PH, Thorne Thomas
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A note on confidence intervals for deblurred images [PDF]
Opuscula Mathematica, 2020 We consider pointwise asymptotic confidence intervals for images that are blurred and observed in additive white noise. This amounts to solving a stochastic inverse problem with a convolution operator.
Michał Biel, Zbigniew Szkutnik
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Calculating confidence intervals for impact numbers
BMC Medical Research Methodology, 2006 Background Standard effect measures such as risk difference and attributable risk are frequently used in epidemiological studies and public health research to describe the effect of exposures.
Bender Ralf +3 more
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Correlation-adjusted standard errors and confidence intervals for within-subject designs: A simple multiplicative approach [PDF]
Tutorials in Quantitative Methods for Psychology, 2019 In within-subject designs, the multiple scores of a given participant are correlated. This correlation implies that the observed variance can be partitioned into between-subject variance and between-measure variance.
Cousineau, Denis
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Frequentist confidence intervals for orbits
, 2014 The problem of efficiently computing the orbital elements of a visual binary while still deriving confidence intervals with frequentist properties is treated. When formulated in terms of the Thiele-Innes elements, the known distribution of probability in
Lucy, L. B.
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Calculating unreported confidence intervals for paired data
BMC Medical Research Methodology, 2011 Background Confidence intervals (or associated standard errors) facilitate assessment of the practical importance of the findings of a health study, and their incorporation into a meta-analysis.
Fagerland Morten W, Hirji Karim F
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Multivariate Confidence Intervals [PDF]
, 2017 Confidence intervals are a popular way to visualize and analyze data distributions. Unlike p-values, they can convey information both about statistical significance as well as effect size. However, very little work exists on applying confidence intervals to multivariate data.
Korpela, Jussi +4 more
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P values, confidence intervals, or confidence levels for hypotheses?
, 2014 Null hypothesis significance tests and p values are widely used despite very strong arguments against their use in many contexts. Confidence intervals are often recommended as an alternative, but these do not achieve the objective of assessing the ...
Wood, Michael
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