Results 11 to 20 of about 4,352 (182)
Jeffreys priors for mixture estimation: Properties and alternatives [PDF]
Computational Statistics & Data Analysis, 2018 arXiv admin note: substantial text overlap with arXiv:1511 ...
Clara Grazian, Christian P. Robert
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A Zero-and-One Inflated Cosine Geometric Distribution and Its Application
Mathematics, 2022 Count data containing both excess zeros and ones occur in many fields, and the zero-and-one inflated distribution is suitable for analyzing them. Herein, we construct confidence intervals (CIs) for the parameters of the zero-and-one inflated cosine ...
Sunisa Junnumtuam +2 more
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Bayesian Estimation of the Scale Parameter of the Complete Even Power Exponential Distribution [PDF]
The Egyptian Statistical Journal, 1997 This paper presents Bayes estimators of the scale parameter of complete even power exponential distribution under a variety of loss functions and using both the natural conjugate prior and the Jeffreys invariant prior.
Reda Mazloum
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PLoS ONE, 2022 Rainfall fluctuation is directly affected by the Earth's climate change. It can be described using the coefficient of variation (CV). Similarly, the ratio of CVs can be used to compare the rainfall variation between two regions. The ratio of CVs has been
Noppadon Yosboonruang +2 more
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Far from Asymptopia: Unbiased High-Dimensional Inference Cannot Assume Unlimited Data
Entropy, 2023 Inference from limited data requires a notion of measure on parameter space, which is most explicit in the Bayesian framework as a prior distribution. Jeffreys prior is the best-known uninformative choice, the invariant volume element from information ...
Michael C. Abbott, Benjamin B. Machta
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Jeffreys’ Priors for Mixture Estimation [PDF]
, 2015 While Jeffreys priors usually are well-defined for the parameters of mixtures of distributions, they are not available in closed form. Furthermore, they often are improper priors. Hence, they have never been used to draw inference on the mixture parameters.
GRAZIAN, CLARA, Robert, Christian
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Objective bayesian analysis for multiple repairable systems.
PLoS ONE, 2021 This article focus on the analysis of the reliability of multiple identical systems that can have multiple failures over time. A repairable system is defined as a system that can be restored to operating state in the event of a failure.
Amanda M E D'Andrea +8 more
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Philosophies, 2021 If there are two dependent positive real variables x1 and x2, and only x1 is known, what is the probability that x2 is larger versus smaller than x1? There is no uniquely correct answer according to “frequentist” and “subjective Bayesian” definitions of ...
Christopher D. Fiorillo, Sunil L. Kim
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Bayesian Estimation of the Parameter of the Exponential Distribution with Different Priors under Symmetric and Asymmetric Loss Functions [PDF]
Engineering and Technology Journal, 2014 The objective of this study is to compare the performance of some Bayesian estimators for the shape parameter of the exponential distribution. We considered three priors: the extension of Jeffreys as non- informative prior information, as well as the ...
Tasnim H.K. AlBaldawi
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Rayleigh Distribution Revisited Via Extension of Jeffreys Prior Information and a New Loss Function
Revstat Statistical Journal, 2011 In this paper we present Bayes estimators of the parameter of the Rayleigh distribution, that stems from an extension of Jeffreys prior (Al-Kutubi (2005)) with a new loss function (Al-Bayyati (2002)).
Sanku Dey , Tanujit Dey
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