Results 21 to 30 of about 1,826,552 (219)

Confidence intervals for rainfall dispersions using the ratio of two coefficients of variation of lognormal distributions with excess zeros.

open access: yesPLoS 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
doaj   +2 more sources

Objective bayesian analysis for multiple repairable systems.

open access: yesPLoS 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
doaj   +1 more source

The Objective Bayesian Probability that an Unknown Positive Real Variable Is Greater Than a Known Is 1/2

open access: yesPhilosophies, 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
doaj   +1 more source

Rayleigh Distribution Revisited Via Extension of Jeffreys Prior Information and a New Loss Function

open access: yesRevstat 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
doaj   +1 more source

Bayesian Estimation of the Parameter of the Exponential Distribution with Different Priors under Symmetric and Asymmetric Loss Functions [PDF]

open access: yesEngineering 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
doaj   +1 more source

Meta-analysis with Jeffreys priors: Empirical frequentist properties. [PDF]

open access: yesRes Synth Methods
AbstractIn small meta-analyses (e.g., up to 20 studies), the best-performing frequentist methods can yield very wide confidence intervals for the meta-analytic mean, as well as biased and imprecise estimates of the heterogeneity. We investigate the frequentist performance of alternative Bayesian methods that use the invariant Jeffreys prior. This prior
Mathur MB.
europepmc   +4 more sources

Measuring the dispersion of rainfall using Bayesian confidence intervals for coefficient of variation of delta-lognormal distribution: a study from Thailand [PDF]

open access: yesPeerJ, 2019
Since rainfall data series often contain zero values and thus follow a delta-lognormal distribution, the coefficient of variation is often used to illustrate the dispersion of rainfall in a number of areas and so is an important tool in statistical ...
Noppadon Yosboonruang   +2 more
doaj   +2 more sources

Bayesian computation for the common coefficient of variation of delta-lognormal distributions with application to common rainfall dispersion in Thailand [PDF]

open access: yesPeerJ, 2022
Rainfall fluctuation makes precipitation and flood prediction difficult. The coefficient of variation can be used to measure rainfall dispersion to produce information for predicting future rainfall, thereby mitigating future disasters.
Noppadon Yosboonruang   +2 more
doaj   +2 more sources

Comparison of Maximum Likelihood and some Bayes Estimators for Maxwell Distribution based on Non-informative Priors

open access: yesمجلة بغداد للعلوم, 2013
In this paper, Bayes estimators of the parameter of Maxwell distribution have been derived along with maximum likelihood estimator. The non-informative priors; Jeffreys and the extension of Jeffreys prior information has been considered under two ...
Baghdad Science Journal
doaj   +1 more source

Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models [PDF]

open access: yes, 2021
Penalization of the likelihood by Jeffreys’ invariant prior, or a positive power thereof, is shown to produce finite-valued maximum penalized likelihood estimates in a broad class of binomial generalized linear models.
Firth, David, Kosmidis, Ioannis
core   +1 more source

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