Results 31 to 40 of about 3,328,774 (379)

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

open access: yesTutorials 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  

A note on confidence intervals for deblurred images [PDF]

open access: yesOpuscula 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
doaj   +1 more source

Simple Buehler-optimal confidence intervals on the average success probability of independent Bernoulli trials [PDF]

open access: yesarXiv, 2022
One-sided confidence intervals are presented for the average of non-identical Bernoulli parameters. These confidence intervals are expressed as analytical functions of the total number of Bernoulli games won, the number of rounds and the confidence level. Tightness of these bounds in the sense of Buehler, i.e.
arxiv  

Simple and Honest Confidence Intervals in Nonparametric Regression [PDF]

open access: yesQuantitative Economics, 2016
We consider the problem of constructing honest confidence intervals (CIs) for a scalar parameter of interest, such as the regression discontinuity parameter, in nonparametric regression based on kernel or local polynomial estimators.
Timothy B. Armstrong, M. Kolesár
semanticscholar   +1 more source

The shortest confidence interval for Poisson mean [PDF]

open access: yesarXiv, 2021
The existence of the shortest confidence interval for Poisson mean is shown. The method of obtaining such an interval is presented as well.
arxiv  

Confidence intervals for normalised citation counts: Can they delimit underlying research capability? [PDF]

open access: yesThelwall, M. (2017). Confidence intervals for normalised citation counts: Can they delimit underlying research capability? Journal of Informetrics, 11(4), 1069-1079. doi:10.1016/j.joi.2017.09.002, 2017
Normalised citation counts are routinely used to assess the average impact of research groups or nations. There is controversy over whether confidence intervals for them are theoretically valid or practically useful. In response, this article introduces the concept of a group's underlying research capability to produce impactful research.
arxiv   +1 more source

The Shortest Clopper–Pearson Randomized Confidence Interval for Binomial Probability

open access: yesRevstat Statistical Journal, 2017
Zieli´nski (2010) showed the existence of the shortest Clopper–Pearson confidence interval for binomial probability. The method of obtaining such an interval was presented as well. Unfortunately, the confidence interval obtained has one disadvantage: it
Wojciech Zieliński
doaj   +1 more source

Correlation-adjusted standard errors and confidence intervals for within-subject designs: A simple multiplicative approach [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2019
In within-subject designs, the multiple scores of a given participant are correlated. This correlation implies that the observed variance can be partitioned into between-subject variance and between-measure variance.
Cousineau, Denis
doaj   +1 more source

Exact-corrected confidence interval for risk difference in noninferiority binomial trials [PDF]

open access: yesarXiv, 2021
A novel confidence interval estimator is proposed for the risk difference in noninferiority binomial trials. The confidence interval is consistent with an exact unconditional test that preserves the type-I error, and has improved power, particularly for smaller sample sizes, compared to the confidence interval by Chan & Zhang (1999).
arxiv  

Using the confidence interval confidently [PDF]

open access: yesJournal 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   +3 more sources

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