Results 21 to 30 of about 10,144,902 (288)
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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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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Prediction intervals for random-effects meta-analysis: A confidence distribution approach [PDF]
Statistical Methods in Medical Research, 2018 Prediction intervals are commonly used in meta-analysis with random-effects models. One widely used method, the Higgins–Thompson–Spiegelhalter prediction interval, replaces the heterogeneity parameter with its point estimate, but its validity strongly ...
K. Nagashima, H. Noma, T. Furukawa
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Singhing with Confidence: Visualising the Performance of Confidence Structures [PDF]
, 2021 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
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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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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Scientia Marina, 2003 Frequentist concepts of confidence distribution, reduced likelihood and likelihood synthesis are presented as tools for integrative statistical analysis, leading to distributional inference.
Tore Schweder
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