Results 21 to 30 of about 6,008 (306)
On sequential estimation of a normal distribution having equal mean and variance
Statistica, 2017 Mukhopadhyay and Cicconetti \cite{mc2004} derived the Maximum Likelihood Estimator (MLE) and the Uniformly Minimum Variance Unbiased Estimator (UMVUE) of $\theta$ in $N (\theta, \theta)$ and discussed their application to purely sequential and two-stage ...
Saralees Nadarajah, Idika E. Okorie
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Estimation of the Parameters of a Bivariate Geometric Distribution [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 The uniformly minimum variance unbiased estimators (UMVUE) of the parameters and reliability functions of a bivariate geometric distribution(BGD) have been derived.The exact variances of the maximum likelihood estimator (MLE) and of UMVUE have been ...
U.J. Dixit, S. Annapurna
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A Bayesian Shrinkage Approach in Weibull Type -II Censored Data Using Prior Point Information
Revstat Statistical Journal, 2009 In the present paper we study the performance of the Bayes Shrinkage estimators for the scale parameter of the Weibull distribution under the squared error loss and the LINEX loss functions in the presence of a prior point information of the scale ...
Gyan Prakash , D.C. Singh
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COMPARISON OF MINQUE AND SIMPLE ESTIMATOR OF THE ERROR VARIANCE IN THE GAUSS MARKOFF MODEL
Journal of Kufa for Mathematics and Computer, 2010 The problem of estimation of variance components occurs in many areas of research. This paper is devoted to study the comparison between Minimum Norm Quadratic Unbiased Estimator (MINQUE) and Ordinary Least Square Estimator (OLSE) of s 2 in the Gauss ...
Abdul-Hussein Saber AL-MOUEL
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Mobility State Detection of Cellular-Connected UAVs Based on Handover Count Statistics
IEEE Open Journal of Vehicular Technology, 2023 Estimating the speed of aerial user equipment (UE) is critically important to provide reliable mobility management for cellular-connected unmanned aerial vehicles (UAVs) since this can enhance the quality of service.
Md Moin Uddin Chowdhury +3 more
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On Estimation of Reliability Functions using Record values from Proportional Hazard Rate Model
Austrian Journal of Statistics, 2019 Two measures of reliability functions, namely R(t)=P(X>t) and P=P ...
Ajit Chaturvedi, Ananya Malhotra
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Estimation of distribution overlap of urn models. [PDF]
PLoS ONE, 2012 A classical problem in statistics is estimating the expected coverage of a sample, which has had applications in gene expression, microbial ecology, optimization, and even numismatics.
Jerrad Hampton, Manuel E Lladser
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Uniformly Minimum Variance Unbiased Estimation of Gene Diversity [PDF]
Journal of Heredity, 2003 Gene diversity is an important measure of genetic variability in inbred populations. The survival of species in changing environments depends on, among other factors, the genetic variability of the population. In this communication, I have derived the uniformly minimum variance unbiased estimator of gene diversity.
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A Robust Solution to Variational Importance Sampling of Minimum Variance
Entropy, 2020 Importance sampling is a Monte Carlo method where samples are obtained from an alternative proposal distribution. This can be used to focus the sampling process in the relevant parts of space, thus reducing the variance. Selecting the proposal that leads
Jerónimo Hernández-González +1 more
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Unbiased Estimates with Minimum Variance
The Annals of Mathematical Statistics, 1950 Subject to certain restrictions, a characterization of unbiased estimates with minimum variance is obtained. For two fairly broad classes of problems, solutions are given which are more readily applicable. These are used to obtain such estimates in some particular cases.
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