Results 11 to 20 of about 1,198,652 (310)

Better Confidence Intervals for a Binomial Proportion

Communications, 2010
Interval estimation of a binomial proportion is one of the basic problems in statistics. In technical practice a binomial proportion is often used in statistical quality control.
Ivana Pobocikova
doaj   +2 more sources

Sequential fixed width confidence intervals [PDF]

, 2000
We consider the problem of constructing confidence intervals of fixed width d and confidence level γ for the success probability p in Bernoulli trials.
Asparouhov, Tihomir Zlatev
core   +1 more source

Double bootstrap confidence intervals in the two-stage DEA approach [PDF]

, 2015
Contextual factors usually assume an important role in determining firms' productive efficiencies. Nevertheless, identifying them in a regression framework might be complicated.
Chronopoulos, Dimitris K., Nankervis, John C, Chronopoulos, Dimitris K, Girardone, Claudia, Nankervis, John C.   +4 more
core   +1 more source

A note on the estimation of confidence intervals for cost-effectiveness when costs and effects are censored [PDF]

, 2002
<i>Background</i>. The relation between methodological advances in estimation of confidence intervals (CIs) for incremental cost-effectiveness ratios (ICER) and estimation of cost effectiveness in the presence of censoring has not been ...
Briggs, AH, O'Brien, B.J., Blackhouse, G, Briggs, A., Blackhouse, G., O'Brien, BJ   +5 more
core   +1 more source

Using the confidence interval confidently [PDF]

Journal of Thoracic Disease, 2017
Biomedical research is seldom done with entire populations but rather with samples drawn from a population. Although we work with samples, our goal is to describe and draw inferences regarding the underlying population. It is possible to use a sample statistic and estimates of error in the sample to get a fair idea of the population parameter, not as a
openaire   +2 more sources

L'établissement d'une norme de qualification sûre dans un contexte non paramétrique [PDF]

Tutorials in Quantitative Methods for Psychology, 2008
La sélection de personnel pour un emploi se base souvent sur une norme psychométrique qu’un candidat doit atteindre afin d’être recruté. Or, cette norme est statistique, c’est-à-dire calculée sur les mesures d’un simple échantillon de la population ...
Louis Laurencelle
doaj  

Interval-Valued Intuitionistic Fuzzy Confidence Intervals

Journal of Intelligent Systems, 2019
Confidence intervals are useful tools for statistical decision-making purposes. In case of incomplete and vague data, fuzzy confidence intervals can be used for decision making under uncertainty.
Kahraman Cengiz, Oztaysi Basar, Cevik Onar Sezi   +2 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
doaj  

Improved Confidence Intervals for the Youden Index. [PDF]

PLoS ONE, 2015
The Youden Index is a summary measurement of the receiver operating characteristic (ROC) curve for the accuracy of a diagnostic test with ordinal or continuous endpoints.
Guogen Shan
doaj   +1 more source

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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