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The Shortest Clopper–Pearson Randomized Confidence Interval for Binomial Probability
Revstat 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
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Confidence band approximation using interval arithmetic [PDF]
, 2012 Confidence bands are commonly obtained from linear regression, but they are rarely shown for nonlinear functions. In part this is due to mathematical complexity.
Pedley, Kevin C. +3 more
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Interval-Valued Intuitionistic Fuzzy Confidence Intervals
Journal of Intelligent Systems, 2019 Confidence intervals are useful tools for statistical decision-making purposes. In case of incomplete and vague data, fuzzy confidence intervals can be used for decision making under uncertainty.
Kahraman Cengiz +2 more
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Fixed-width confidence interval for a lognormal mean
International Journal of Mathematics and Mathematical Sciences, 2002 We consider the problem of constructing a fixed-width confidence interval for a lognormal mean. We give a Birnbaum and Healy type two-stage procedure to construct such a confidence interval. We discuss some asymptotic properties of the procedure. A three-
Makoto Aoshima, Zakkula Govindarajulu
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Validation of models with constant bias: an applied approach [PDF]
Revista Mvz Cordoba, 2014 Objective. This paper presents extensions to the statistical validation method based on the procedure of Freese when a model shows constant bias (CB) in its predictions and illustrate the method with data from a new mechanistic model that predict weight ...
Salvador Medina-Peralta +6 more
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Fast estimation and choice of confidence interval methods for step regression [PDF]
, 2022 In this paper we propose a new fast grid search algorithm for finding the least square estimators of a step regression model. This algorithm makes it practical to compute resampling-based confidence intervals for step regression models. We introduce five
Fong, Youyi +2 more
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Journal of Probability and Statistics, 2015 Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals ...
Daniel Turek
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Collabra: Psychology, 2019 Based on the observation that frequentist confidence intervals and Bayesian credible intervals sometimes happen to have the same numerical boundaries (under very specific conditions), Albers et al.
Ladislas Nalborczyk +2 more
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Confidence interval calculation results.
, 2022 Confidence interval calculation results.
Zheng Shi (586636) +3 more
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