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   Articles with "type estimator" as a keyword



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The distribution of the Liu-type estimator of the biasing parameter in elliptically contoured models

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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2015.1073315

Abstract: ABSTRACT We derive the density function of the stochastic shrinkage parameters of the Liu-type estimator in elliptical models. The correctness of derivation is checked by simulations. A real data application is also provided. read more here.

Keywords: biasing parameter; liu type; estimator biasing; type estimator ... See more keywords
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Particle swarm optimization based Liu-type estimator

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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2016.1267759

Abstract: ABSTRACT In this study, a new method for the estimation of the shrinkage and biasing parameters of Liu-type estimator is proposed. Because k is kept constant and d is optimized in Liu’s method, a (k,… read more here.

Keywords: swarm optimization; particle swarm; optimization; liu type ... See more keywords

Application of the Liu-type estimator in illposed problems of small baseline subsets deformation monitoring

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recommendations! Published in 2018 at "Journal of Applied Remote Sensing"

DOI: 10.1117/1.jrs.12.036021

Abstract: Abstract. To overcome the illposed problems existing in small baseline subsets deformation, the Liu-type estimator is used to improve the accuracy of calculation. The Liu-type estimator introduces parameter d to improve the fitting and statistical… read more here.

Keywords: small baseline; illposed problems; type estimator; liu type ... See more keywords

Optimizing Variance Estimation in Stratified Random Sampling through a Log-Type Estimator for Finite Populations

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recommendations! Published in 2024 at "Symmetry"

DOI: 10.3390/sym16050540

Abstract: In this research, a logarithmic-type estimator was formulated for estimating the finite population variance in stratified random sampling. By ensuring that the sampling process is symmetrically conducted across the population, biases can be minimized, and… read more here.

Keywords: stratified random; variance; type estimator; random sampling ... See more keywords