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Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring [PDF]

Entropy
This paper investigates the prediction of unobserved future failure times for the heavy-tailed Log-Logistic distribution under Progressive Type-II censoring.
Ziteng Zhang, Wenhao Gui
doaj   +2 more sources

Robust Bayes-like estimation: Rho-Bayes estimation [PDF]

The Annals of Statistics, 2020
68 ...
Baraud, Yannick, Birgé, Lucien
openaire   +6 more sources

Parametric Estimation of Empirical Bayes of Traffic Intensity in M/M/1 Queue System [PDF]

تصمیم گیری و تحقیق در عملیات, 2018
Armero and Bayarri get Bayesian estimation from traffic intensity in M/M/1 model in 1994. Sharma and Kumar get Bayesian and classical estimations of different parameters of M/M/1 model under loss function in 1999. Furthermore, use of classical methods to
Ahmad Poordarvish, bahador hoseini
doaj   +1 more source

PENERAPAN METODE SAE DENGAN PENDEKATAN EMPIRICAL BAYES BERBASIS MODEL BETA BINOMIAL PADA DATA BANGKITAN

Media Statistika, 2021
Small Area Estimation (SAE) is one of the statistical methods that used to estimate parameters of model from small subpopulations. Because of that, additional information is needed to predict these parameters that will result a more accurate predictive ...
Ferra Yanuar, Rahmatika Fajriyah, Dodi Devianto   +2 more
doaj   +1 more source

Bayes Estimators for Phylogenetic Reconstruction [PDF]

Systematic Biology, 2011
Tree reconstruction methods are often judged by their accuracy, measured by how close they get to the true tree. Yet most reconstruction methods like ML do not explicitly maximize this accuracy. To address this problem, we propose a Bayesian solution.
Peter Huggins, Wenbin Li, David Haws, Thomas Friedrich 0004, Jinze Liu, Ruriko Yoshida   +5 more
openaire   +3 more sources

Estimation of Entropy for Weibull Distribution Based on Record Values

Journal of Statistical Theory and Applications (JSTA), 2021
In this paper, estimation of entropy for Weibull distribution based on record values is considered. Maximum likelihood estimation and Bayes estimation for Shannon entropy and Renyi entropy have been considered based on record values. Bayes estimators are
Manoj Chacko, P. S. Asha
doaj   +1 more source

IDENTIFICATION OF RAINFALL DISTRIBUTION IN WEST SUMATERA AND ASSESSMENT OF ITS PARAMETERS USING BAYES METHOD

Media Statistika, 2020
One distribution of rainfall data is a lognormal distribution with location parameters  and scale parameters . This study aims to estimate the mean and variance of rainfall data in several selected cities and regencies in West Sumatra.
Ferra Yanuar, Putri Trisna Sari, Yudiantri Asdi   +2 more
doaj   +1 more source

PENDUGAAN PARAMETER MIU DARI DISTRIBUSI LOG-NORMAL DENGAN MENGGUNAKAN METODE MAXIMUM LIKELIHOOD ESTIMATION (MLE) DAN METODE BAYES

Jurnal Matematika UNAND, 2020
Penelitian ini membahas tentang pendugaan parameter µ dari distribusi LogNormal dengan σ 2 diketahui. Penelitian ini menggunakan metode Maximum Likelihood Estimation (MLE) dan metode Bayes dengan prior konjugat.
INDAH PRATIWI, FERRA YANUAR, HAZMIRA YOZZA   +2 more
doaj   +1 more source

Some bayes estimation startegies in exponential distribution under a weighted loss function [PDF]

Journal of Hyperstructures, 2018
In Bayesian approach, prior knowledge is often vague and any elicited prior distribution is only an approximation to the true one. E-Bayes and robust Bayes approaches consider a class of prior distributions instead of a single prior.
A. Kiapour, mehran naghizadeh qomi
doaj   +1 more source

The Compound Inverse Rayleigh as an Extreme Wind Speed Distribution and Its Bayes Estimation

Energies, 2022
This paper proposes the Compound Inverse Rayleigh distribution as a proper model for the characterization of the probability distribution of extreme values of wind-speed.
Elio Chiodo, Maurizio Fantauzzi, Giovanni Mazzanti   +2 more
doaj   +1 more source