Results 11 to 20 of about 3,320,624 (262)
Individual consistency in the accuracy and distribution of confidence judgments [PDF]
We examine which aspects of the confidence distributions - its shape, its bias toward higher or lower values, and its ability to distinguish correct from erred trials - are idiosyncratic of the who (individual specificity), the when (variability across days) and the what (task specificity).
Pablo Barttfeld+4 more
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Confidence in confidence distributions! [PDF]
The recent article ‘Satellite conjunction analysis and the false confidence theorem’ (Balch et al . 2019, Satellite conjunction analysis and the false confidence theorem. Proc. R. Soc. A 475 , 20180565) points to certain difficulties with Bayesian analysis when used for models for
Céline Cunen+2 more
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Confidence Distributions for FIC Scores [PDF]
When using the Focused Information Criterion (FIC) for assessing and ranking candidate models with respect to how well they do for a given estimation task, it is customary to produce a so-called FIC plot. This plot has the different point estimates along the y-axis and the root-FIC scores on the x-axis, these being the estimated root-mean-square scores.
Céline Cunen, Nils Lid Hjort
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Predicting with Confidence on Unseen Distributions [PDF]
ICCV Camera ready; new scatter plots in supplementary ...
Guillory, Devin+4 more
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Generalized Confidence Intervals for Zero-Inflated Pareto Distribution
This paper considers interval estimations for the mean of Pareto distribution with excess zeros. Three approaches for interval estimation are proposed based on fiducial generalized pivotal quantities (FGPQs), respectively.
Xiao Wang, Xinmin Li
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Two multi-parameter distributions, namely the Pearson type IV and metalog distributions, are discussed and suggested as alternatives to the normal distribution for modelling path delay data that determines the maximum clock frequency (FMAX) of a ...
Miikka Runolinna+4 more
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Confidence Interval for Quantile Ratio of the Dagum Distribution
Inequality measures based on ratios of quantiles are frequently applied in economic research, especially to the analysis of income distributions. In the paper, we construct a confidence interval for such measures under the Dagum distribution which has ...
Alina Jędrzejczak +2 more
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On approximate robust confidence distributions
A confidence distribution is a complete tool for making frequentist inference for a parameter of interest $ψ$ based on an assumed parametric model. Indeed, it allows to reach point estimates, to assess their precision, to set up tests along with measures of evidence for statements of the type "$ψ> ψ_0$" or "$ψ_1 \leq ψ\leq ψ_2$", to derive ...
Elena Bortolato, Laura Ventura
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Singhing with Confidence: Visualising the Performance of Confidence Structures [PDF]
Confidence intervals are an established means of portraying uncertainty about an inferred parameter and can be generated through the use of confidence distributions. For a confidence distribution to be ideal, it must maintain frequentist coverage of the true parameter. This can be represented for a precise distribution by adherence to a cumulative unit
arxiv +1 more source
Minimum Area Confidence Region for Weibull Distribution Based on Records
Record values are commonly seen in real life applications, and many important studies on record values relate to Weibull distributions. Based on record values, we establish the minimum area confidence region for the two-parameter Weibull distribution ...
Junmei Zhou , Fen Jiang , Jin Zhang
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