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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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Confidence Intervals from Normalized Data: A correction to Cousineau (2005) [PDF]
Tutorials in Quantitative Methods for Psychology, 2008 Presenting confidence intervals around means is a common method of expressing uncertainty in data. Loftus and Masson (1994) describe confidence intervals for means in within-subjects designs. These confidence intervals are based on the ANOVA mean squared
Richard D. Morey
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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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Varieties of Confidence Intervals
Advances in Cognitive Psychology, 2017 Error bars are useful to understand data and their interrelations. Here, it is shown that confidence intervals of the mean (CI M s) can be adjusted based on whether the objective is to highlight differences between measures or not and based on the experimental design (within- or between-group designs). Confidence intervals (CIs) can also be adjusted to
D. Cousineau
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Some misunderstandings in psychology about confidence intervals [PDF]
Frontiers in Psychology, 2022 Tadamasa Sawada +4 more
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The Effect of the Outliers and Leverage Points in the Construction of the Bayesian and Bootstrap Confidence Intervals [PDF]
المجلة العراقية للعلوم الاحصائية, 2019 The aim of this research is to compare the bootstrap confidence intervals with the Bayesian confidence intervals for smoothing splines as well as the traditional confidence intervals to determine which of these limits are best in the presence of Outliers
Muzahim Mohammed
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Confidence intervals and other statistical intervals in metrology [PDF]
International Journal of Metrology and Quality Engineering, 2012 Typically, a measurement is regarded as being incomplete without a statement of uncertainty being provided with the result. Usually, the corresponding interval of measurement uncertainty will be an evaluated confidence interval, assuming that the ...
Willink R.
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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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The Automatic Construction of Bootstrap Confidence Intervals
Journal of Computational And Graphical Statistics, 2020 The standard intervals, for example, for nominal 95% two-sided coverage, are familiar and easy to use, but can be of dubious accuracy in regular practice.
B. Efron, B. Narasimhan
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