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On randomizations of confidence intervals

, 1961
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Bootstrap Confidence Intervals

2010
In statistical analysis of climate time series, our aim (Chapter 1) is to estimate parameters of X trend(T), X out(T), S(T) and X noise(T). Denote in general such a parameter as θ. An estimator, \( \hat{\theta } \), is a recipe how to calculate θ from a set of data. The data, discretely sampled time series \( \{t\left( i \right),x\left( i \right)\}_{{i=
M. Mudelsee
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Confidence-Interval-Fuzzy-Model-Based Indoor Localization

IEEE transactions on industrial electronics (1982. Print), 2019
In this paper, an efficient indoor localization algorithm based on the confidence-interval fuzzy model is presented. The width of the confidence interval is essential within the proposed fingerprinting method for calculating weights, which are then taken
Simon Tomažič, D. Dovžan, I. Škrjanc
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Confidence Interval

International Encyclopedia of Statistical Science, 2011
M. Smithson
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Two-sided confidence intervals for the single proportion: comparison of seven methods.

Statistics in Medicine, 1998
Simple interval estimate methods for proportions exhibit poor coverage and can produce evidently inappropriate intervals. Criteria appropriate to the evaluation of various proposed methods include: closeness of the achieved coverage probability to its ...
R. Newcombe
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Symmetric Intervals and Confidence Intervals

Biometrical Journal, 1994
AbstractWe show that the symmetric “confidence intervals” of WESTLAKE (1972, 1976), widely used and referred to in bioequivalence studies, are not confidence intervals in any accepted sense. Nevertheless, meaningful symmetric intervals can be constructed in the context of Bayesian or fiducial inference.
John O'Quigley, C. Baudoin
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Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions

, 1998
For interval estimation of a proportion, coverage probabilities tend to be too large for “exact” confidence intervals based on inverting the binomial test and too small for the interval based on inverting the Wald large-sample normal test (i.e., sample ...
A. Agresti, B. Coull
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Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning

, 2015
Summary Cronbach's alpha is one of the most widely used measures of reliability in the social and organizational sciences. Current practice is to report the sample value of Cronbach's alpha reliability, but a confidence interval for the population ...
D. Bonett, T. A. Wright
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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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Confidence Intervals for a Proportion

Biometrika, 1956
Tables of confidence intervals for a proportion based on the sample proportion are presented, calculated by a slight modification of the method proposed by Sterne (1954), for fixed sample sizes up to 30 and confidence coefficients of 0 90, 0 95 and 0 99. This system is compared, especially in shortness, with Sterne's system, Clopper & Pearson's (1934),
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