Results 171 to 180 of about 862,343 (216)

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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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 ...
Gary D. Borich, Ann C. Schulte
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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 ...
Lawrence M. Leemis, Murali Subramaniam
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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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Binomial Confidence Intervals

Journal of the American Statistical Association, 1983
Abstract For X with Binomial (n, p) distribution, Section 1 gives a one-page table of .95 and .99 confidence intervals for p, for n = 1, 2, …, 30. This interval is equivariant under X → n − X and p → 1 − p, has approximately equal probability tails, is approximately unbiased, has Crow's property of minimizing the sum of the n + 1 possible lengths, and ...
Harold A. Still, Colin R. Blyth
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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=
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Generalized Confidence Intervals

Journal of the American Statistical Association, 1993
Abstract The definition of a confidence interval is generalized so that problems such as constructing exact confidence regions for the difference in two normal means can be tackled without the assumption of equal variances. Under certain conditions, the extended definition is shown to preserve a repeated sampling property that a practitioner expects ...
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Confidence Intervals

Annals of Internal Medicine, 1986
W S, Browner, T B, Newman
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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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Confidence interval

1999
Annexes 5p. *Gévès , La Minière, Centre de Versailles (FRA) Diffusion du document : Gévès , La Minière, Centre de Versailles (FRA)
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