Results 21 to 30 of about 9,128 (169)
Bayes and Non-Bayes Estimation Methods for the Parameter of Maxwell-Boltzmann Distribution
مجلة بغداد للعلوم, 2017 In this paper, point estimation for parameter ? of Maxwell-Boltzmann distribution has been investigated by using simulation technique, to estimate the parameter by two sections methods; the first section includes Non-Bayesian estimation methods, such as (
Baghdad Science Journal
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Estimation in the Koziol-Green Model Using a Gamma Process Prior
Austrian Journal of Statistics, 2016 The paper deals with nonparametric Bayes estimators in the Koziol-Green model of random censorship. A gamma process is assumed as a prior distribution for cumulative hazard rate and the Bayes estimator incorporating the proportional hazards censorship ...
Michal Friesl
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Intrinsic Bayesian estimation of linear time series models
Statistical Theory and Related Fields, 2021 Intrinsic loss functions (such as the Kullback–Leibler divergence, i.e. the entropy loss) have been used extensively in place of conventional loss functions for independent samples. But applications in serially correlated samples are scant.
Shawn Ni, Dongchu Sun
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The Annals of Statistics, 1978 Let $x_1, \cdots, x_n$ be i.i.d. random variables with a distribution depending on the real parameter. Under what conditions is a generalized Bayes estimator independent of the choice of the even loss function? The known answer to this question is that this independence holds if the posterior density is symmetric and unimodal.
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Statistical Inference for Lindley Model based on Type II Censored Data [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 In this paper, the moment-based, maximum likelihood and Bayes estimators for the unknown parameter of the Lindley model based on Type II censored data are discussed.
A. Asgharzadeh +3 more
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The Scientific World Journal, 2014 The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach.
Chansoo Kim, Woosuk Kim
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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 +2 more
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Bayesian Analysis for the Modified Frechet–Exponential Distribution with Covid-19 Application
Cumhuriyet Science Journal, 2023 In this manuscript, the maximum likelihood estimators and Bayes estimators for the parameters of the modified Frechet–exponential distribution. Because the Bayes estimators cannot be obtained in closed forms, the approximate Bayes estimators are computed
Neriman Akdam
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Austrian Journal of Statistics, 2015 This paper derives Bayes shrinkage estimator of Rayleigh parameter and its associated risk based on conjugate prior under the assumption of general entropy loss function for progressive type-II censored data. Risk function of maximum likelihood estimate,
Sanku Dey +2 more
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Estimation of Pianka Overlapping Coefficient for Two Exponential Distributions
Mathematics, 2023 Overlapping coefficients (OVL) are commonly used to estimate the similarity between populations in terms of their density functions. In this paper, we consider Pianka’s overlap coefficient for two exponential populations.
Suad Alhihi, Maalee Almheidat
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