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Confidence in Confidence Intervals

Mathematics Magazine, 1982
An exoteric view of confidence intervals that involves subjective probability and makes use of computer-simulated sampling.
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The empirical coverage of confidence intervals: Point estimates and confidence intervals for confidence levels

Biometrical Journal, 2012
Many confidence intervals calculated in practice are potentially not exact, either because the requirements for the interval estimator to be exact are known to be violated, or because the (exact) distribution of the data is unknown. If a confidence interval is approximate, the crucial question is how well its true coverage probability approximates its ...
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Confidence Intervals II

1998
In the previous topic you began a study of the important and widely used technique of confidence intervals. These procedures use a sample statistic to estimate a population parameter with an interval of values and a certain confidence level. This topic asks you to continue this study by considering sample survey results and the connection between ...
Allan J. Rossman, Beth L. Chance
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Understanding confidence intervals

BMJ, 2014
Researchers investigated the effects of controlled cord traction in the third stage of labour on postpartum haemorrhage when carried out in a high resource setting. A randomised controlled trial study design was used. Control treatment was standard placenta expulsion (awaiting spontaneous placental separation before facilitating expulsion). The setting
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Confidence interval scatterplots for evaluating confidence interval performance

Journal of Statistical Computation and Simulation, 1988
Confidence intervals are widely used to determine an interval, estimated from data, that contains a population parameter with a prescribed probability. Kang and Schmeiser (1986) introduce a scatterplot that is useful in comparing the effectiveness of different confidence interval procedures based on performance measures such as the coverage, the ...
Murali Subramaniam, Lawrence Leemis
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Confidence Intervals for Scale

Australian Journal of Statistics, 1987
SummaryThis paper explains the approach to parameter estimation based on the idea of simultaneous models. Instead of using a single shape—as for example the normal distribution—a simultaneous model uses a finite number of distinct shapes F, G, etc. Such simultaneous systems are tools in gauging the finite sample behavior of estimators.
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False confidence in intervals: Inaccuracies in reporting confidence intervals

Psychology in the Schools, 1988
Confidence intervals often are recommended as a means of communicating the extent to which individual test scores may be influenced by measurement error. However, test manuals and assessment texts vary widely in their recommendations about how confidence intervals should be constructed, and several contain misinterpretations of classical test theory ...
Ann C. Schulte, Gary D. Borich
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Confidence Intervals

Annals of Internal Medicine, 1986
W S, Browner, T B, Newman
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Distribution‐free confidence intervals

Statistica Neerlandica, 1972
Summary  A general approach for converting a certain class of nonparametric tests into confidence intervals for suitably defined parameters is discussed. The class of tests comprises but is not limited to lineair rank tests for the one‐sample, two‐sample, and linear regression problems.
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