Results 31 to 40 of about 8,843 (310)
Maximum a posteriori estimators as a limit of Bayes estimators [PDF]
Maximum a posteriori and Bayes estimators are two common methods of point estimation in Bayesian Statistics. It is commonly accepted that maximum a posteriori estimators are a limiting case of Bayes estimators with 0-1 loss. In this paper, we provide a counterexample which shows that in general this claim is false.
Robert L. Bassett, Julio Deride
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Bayes Estimators of Exponential Parameters from a Censored Sample Using a Guessed Estimate
This paper provides the Bayes estimators of the failure rate and reliability function for a one-parameter, exponential distribution by utilizing a point guess estimate of the parameter.
G P Singh +3 more
doaj +1 more source
Bayesian estimation for Dagum distribution based on progressive type I interval censoring.
In this paper, we consider Dagum distribution which is capable of modeling various shapes of failure rates and aging criteria. Based on progressively type-I interval censoring data, we first obtain the maximum likelihood estimators and the approximate ...
Refah Alotaibi +3 more
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Bayesian Estimation of R= P [ y < X ] for Burr Type XII Distribution Using Extreme Ranked Set Sampling [PDF]
In this paper, a comparison of Bayesian estimators using non-informative priors under different loss functions, assuming that both the stress and the strength are independently indentically burr XII random variables.
M. Yahya
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Bayesian Estimation of the Parameter of the Exponential Distribution with Different Priors under Symmetric and Asymmetric Loss Functions [PDF]
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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Estimation of Entropy for Weibull Distribution Based on Record Values
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
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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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Approximate Bayes Estimation for Log-Dagum Distribution
In this article, the approximate Bayes estimationproblem for the log-Dagum distribution with three parameters is considered.Firstly, the maximum likelihood estimators and asymptotic confidence intervalsbased on these estimators for unknown parameters of ...
Caner Tanış +2 more
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Estimating the Entropy of a Weibull Distribution under Generalized Progressive Hybrid Censoring
Recently, progressive hybrid censoring schemes have become quite popular in a life-testing problem and reliability analysis. However, the limitation of the progressive hybrid censoring scheme is that it cannot be applied when few failures occur before ...
Youngseuk Cho, Hokeun Sun, Kyeongjun Lee
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This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source

