Results 41 to 50 of about 2,005,837 (259)

Calculating unreported confidence intervals for paired data

BMC Medical Research Methodology, 2011
Background Confidence intervals (or associated standard errors) facilitate assessment of the practical importance of the findings of a health study, and their incorporation into a meta-analysis.
Fagerland Morten W, Hirji Karim F
doaj   +1 more source

The Physical Significance of Confidence Intervals

, 2001
We define some appropriate statistical quantities that indicate the physical significance (reliability) of confidence intervals in the framework of both Frequentist and Bayesian statistical theories.
Giunti, C., Laveder, M.
core   +1 more source

Fusing photovoltaic data for improved confidence intervals

AIMS Energy, 2017
Characterizing and testing photovoltaic modules requires carefully made measurements on important variables such as the power output under standard conditions.
Ansgar Steland
doaj   +1 more source

Locally correct confidence intervals for a binomial proportion: A new criteria for an interval estimator [PDF]

arXiv, 2021
Well-recommended methods of forming `confidence intervals' for a binomial proportion give interval estimates that do not actually meet the definition of a confidence interval, in that their coverages are sometimes lower than the nominal confidence level.
arxiv  

Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects [PDF]

Tutorials in Quantitative Methods for Psychology, 2006
For the last 50 years of research in quantitative social sciences, the empirical evaluation of scientific hypotheses has been based on the rejection or not of the null hypothesis.
Dominic Beaulieu-Prévost
doaj  

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   +1 more source

A Method for Confidence Intervals of High Quantiles

Entropy, 2021
The high quantile estimation of heavy tailed distributions has many important applications. There are theoretical difficulties in studying heavy tailed distributions since they often have infinite moments.
Mei Ling Huang, Xiang Raney-Yan
doaj   +1 more source

Image Segmentation Based on Statistical Confidence Intervals

Entropy, 2018
Image segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine.
Pablo Buenestado, Leonardo Acho
doaj   +1 more source

Confidence intervals for test information and relative efficiency [PDF]

, 1984
In latent theory the measurement properties of a mental test can be expressed in the test information function. The relative merits of two tests for the same latent trait can be described by the relative efficiency function, i.e.
Oosterloo, Sebie
core   +4 more sources

Markov Chain Monte Carlo confidence intervals

, 2016
For a reversible and ergodic Markov chain $\{X_n,n\geq0\}$ with invariant distribution $\pi$, we show that a valid confidence interval for $\pi(h)$ can be constructed whenever the asymptotic variance $\sigma^2_P(h)$ is finite and positive.
Atchadé, Yves F.
core   +1 more source