Results 51 to 60 of about 9,128 (169)
Some results on Bayes estimation under Linex loss function [PDF]
In this paper, we introduced straightforward formulas for the Bayes risk linked to the Linex loss function, which we then applied to estimate parameters of the normal, Poisson, and fractional Weibull distributions.We aimed to investigate the development ...
Masoud Ganji, Fatemeh Gharari
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Empirical Estimation for Sparse Double-Heteroscedastic Hierarchical Normal Models
The available heteroscedastic hierarchical models perform well for a wide range of real-world data, but for the data sets which exhibit heteroscedasticity mainly due to the lack of constant means rather than unequal variances, the existing models tend to
Vida Shantia, S. K. Ghoreishi
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Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling.
Muhammad Dwirifqi Kharisma Putra +3 more
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BAYES RISKS OF ESTIMATORS OF ESTIMABLE PARAMETERS [PDF]
For the estimable parameter of degree 2, throughout this paper, we consider 02 with h2 such that h2(x, x) and h2(x, x)=0 for any x, yEX. As estimators of estimable parameters, U-statistics and differentiable statistical functions are well known. (See, for example, Hoeffding (1948) and von Mises (1947).) For an estimable parameter of degree 1, the U ...
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This paper is interested in comparing the performance of the traditional methods to estimate parameter of exponential distribution (Maximum Likelihood Estimator, Uniformly Minimum Variance Unbiased Estimator) and the Bayes Estimator in the case of data ...
N. H. Al-Noor
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Comparisons of the Performances of Estimators of a Bounded Normal Mean Under Squared-Error Loss
This paper is concerned with the estimation under squared-error loss of a normal mean θ based on X ∼ N (θ, 1) when |θ| ≤ m for a known m > 0. Nine estimators are compared, namely the maximum likelihood estimator (mle), three dominators of the mle ...
Yiping Dou , Constance van Eeden
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Empirical Bayes Conditional Density Estimation
The problem of nonparametric estimation of the conditional density of a response, given a vector of explanatory variables, is classical and of prominent importance in many prediction problems since the conditional density provides a more comprehensive description of the association between the response and the predictor than, for instance, does the ...
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Estimation of a closed population size of tadpoles in temporary pond
The practice of capture-recapture to estimate the diversity is well known to many animal groups, however this practice in the larval phase of anuran amphibians is incipient.
M. S. C. S. Lima +2 more
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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
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Comment: Empirical Bayes Interval Estimation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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