Results 11 to 20 of about 3,060,296 (340)
Predicting with Confidence on Unseen Distributions [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 ICCV Camera ready; new scatter plots in supplementary ...
Guillory, Devin +4 more
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Generalized Confidence Intervals for Zero-Inflated Pareto Distribution
Mathematics, 2021 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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Approximate Confidence Distribution Computing
The New England Journal of Statistics in Data Science, 2023 Approximate confidence distribution computing (ACDC) offers a new take on the rapidly developing field of likelihood-free inference from within a frequentist framework. The appeal of this computational method for statistical inference hinges upon the concept of a confidence distribution, a special type of estimator which is defined with respect to the ...
Thornton, Suzanne, Li, W., Xie, M.
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Journal of Low Power Electronics and Applications, 2023 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
Revstat Statistical Journal, 2021 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
Econometrics and Statistics, 2023 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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Minimum Area Confidence Region for Weibull Distribution Based on Records
Revstat Statistical Journal, 2021 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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Confidence intervals for distributional positions
Communications in Statistics - Theory and Methods, 2022 A common problem with ranking lists (e.g., regarding success/failure proportions of treatments at hospitals) is that smaller units tend to end up either in the top or in the bottom just by pure chance. To alleviate this problem, we propose a method that, for a given unit, gives a confidence interval for the position of this unit within the distribution
Holm, Sture, Larsson, Rolf
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Inference for the Weibull Distribution: A tutorial [PDF]
Tutorials in Quantitative Methods for Psychology, 2015 This tutorial deals with the 2-parameter Weibull distribution. In particular it covers the construction of confidence bounds and intervals for various parameters of interest, the Weibull scale and shape parameters, its quantiles and tail probabilities ...
Scholz, F. W.
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Confidence Distributions for the Autoregressive Parameter
The American Statistician, 2023 The notion of confidence distributions is applied to inference about the parameter in a simple autoregressive model, allowing the parameter to take the value one. This makes it possible to compare to asymptotic approximations in both the stationary and the non stationary cases at the same time.
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