Results 31 to 40 of about 9,128 (169)

Empirical Bayes Derivative Estimates

Multivariate Behavioral Research, 2019
A dynamic system is a set of interacting elements characterized by changes occurring over time. The estimation of derivatives is a mainstay for exploring dynamics of constructs, particularly when the dynamics are complicated or unknown. The presence of measurement error in many social science constructs frequently results in poor estimates of ...
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Odds Ratios Estimation of Rare Event in Binomial Distribution

Journal of Probability and Statistics, 2016
We introduce the new estimator of odds ratios in rare events using Empirical Bayes method in two independent binomial distributions. We compare the proposed estimates of odds ratios with two estimators, modified maximum likelihood estimator (MMLE) and ...
Kobkun Raweesawat, Yupaporn Areepong, Katechan Jampachaisri, Saowanit Sukparungsee   +3 more
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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
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Bayes Double Sample Estimation Procedures

The Annals of Statistics, 1984
Let \(X=(X_ 1,...,X_ d)\) be a random vector with distribution \(dP_{\theta}(x)=\exp(x\cdot \theta -M(\theta))d\mu(x)\). Given the conjugate prior distribution of \(\theta\) and a loss function depending both on an error of estimation and on the cost of sampling, the Bayesian two-stage estimate of \(EX_ 1\) is constructed.
Cohen, Arthur, Sackrowitz, Harold B.
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Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data

پژوهش‌های ریاضی, 2018
Introduction      In classical methods of statistics, the parameter of interest is estimated based on a random sample using natural estimators such as maximum likelihood or unbiased estimators (sample information).
azadeh kiapour
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Empirical Bayes Estimators for Mean Parameter of Exponential Distribution with Conjugate Inverse Gamma Prior Under Stein’s Loss

Mathematics
A Bayes estimator for a mean parameter of an exponential distribution is calculated using Stein’s loss, which equally penalizes gross overestimation and underestimation.
Zheng Li, Ying-Ying Zhang, Ya-Guang Shi
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Bayesian Estimation of the Exponential Parameter under a Multiply Type-II Censoring Scheme

Austrian Journal of Statistics, 2016
This paper provides the estimation of the scale parameter of the exponential distribution under multiply type-II censoring. Using generalized non-informative prior and natural conjugate prior, Bayes estimator and approximate Bayes estimators of the scale
Umesh Singh, Anil Kumar
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Statistical Inferences of Type-II Progressively Hybrid Censored Fuzzy Data with Rayleigh Distribution

Austrian Journal of Statistics, 2018
This article presents the procedures for the estimation of the parameter of Rayleigh distribution based on Type-II progressive hybrid censored fuzzy lifetime data.
Ankita Chaturvedi, Sanjay Kumar Singh, Umesh Singh   +2 more
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On Bayes estimates

Journal of Multivariate Analysis, 1973
AbstractIn this paper the author tries to give general conditions for the existence of Bayes estimates and for the consistency of sequences of Bayes estimates.In Section 3 we prove existence theorems for Bayes estimates, which contain those of DeGroot and Rao [3], as a special case.
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Bayes Estimation with Convex Loss

The Annals of Mathematical Statistics, 1963
Let $X$ be a generalized random variable taking values in an abstract set $\mathscr{X}$ on which is defined an appropriate $\sigma$-field of subsets. Suppose that the distribution of $X$ depends on a real parameter $\Theta$ and that it is desired to estimate the value of $\Theta$ from an observation on $X$.
DeGroot, M. H., Rao, M. M.
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