Results 41 to 50 of about 9,128 (169)

Minimax Estimator of a Lower Bounded Parameter of a Discrete Distribution under a Squared Log Error Loss Function [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 2012
The problem of estimating the parameter ?, when it is restricted to an interval of the form , in a class of discrete distributions, including Binomial Negative Binomial discrete Weibull and etc., is considered.
N. Nematollahi
doaj  

On empirical Bayes estimation of multivariate regression coefficient

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2006
We investigate the empirical Bayes estimation problem of multivariate regression coefficients under squared error loss function. In particular, we consider the regression model Y=Xβ+ε, where Y is an m-vector of observations, X is a known m×k matrix, β is
R. J. Karunamuni, L. Wei
doaj   +1 more source

Minimax Estimation of the Mean Matrix of the Matrix Variate Normal Distribution under the Divergence Loss Function

open access: yesStatistica, 2018
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance matrix is considered under two loss functions. We construct a class of empirical Bayes estimators which are better than the maximum likelihood estimator ...
Shokofeh Zinodiny   +2 more
doaj   +1 more source

A Note on Bayes Estimates

open access: yesThe Annals of Mathematical Statistics, 1967
Throughout this paper we are concerned with the problem of estimating a real parameter when the loss function is such that the Bayes estimate exists, is unique, and satisfies a simple Equation, (1.5). If the estimate is unbiased (in the general sense of Lehmann [3]) we show under weak conditions that it must satisfy another Equation, (1.14).
Bickel, Peter J., Blackwell, David
openaire   +3 more sources

Estimation of Stress Strength Reliability of Inverse Weibull Distribution under Progressive First Failure Censoring

open access: yesAustrian Journal of Statistics, 2018
In this article, estimation of stress-strength reliability $\delta=P\left ...
Hare Krishna, Madhulika Dube, Renu Garg
doaj   +1 more source

Estimation of Reliability Function for Complete Data - Article Review [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2019
The theory of reliability is one of the important theories that is attracting great interest in many researchers at present because of its importance in various fields of life especially in determining the age of a particular device and its efficiency ...
Shaimaa Waleed
doaj   +1 more source

An empirical Bayes estimation problem [PDF]

open access: yesProceedings of the National Academy of Sciences, 1980
Let x be a random variable such that, given θ, x is Poisson with mean θ, while θ has an unknown prior distribution G . In many statistical problems one wants to estimate as accurately as possible the parameter E (θǀ x =
openaire   +2 more sources

Large Deviations and Berry–Esseen Inequalities for Estimators in Nonlinear Nonhomogeneous Diffusions

open access: yesRevstat Statistical Journal, 2007
Bounds on the large deviations probability of the maximum likelihood estimator and regular Bayes estimators, and Berry–Esseen type bound for the suitably normalized maximum likelihood estimator of a parameter appearing nonlinearly in the nonhomogeneous ...
Jaya P.N. Bishwal
doaj   +1 more source

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

Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications.

open access: yesPLoS ONE
This article examines the estimate of ϑ = P [T < Q], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. Assume that the stress (T) and strength (Q) are independent random variables that follow the Burr III ...
Salem A Alyami   +5 more
doaj   +1 more source

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