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Stein-type improved estimation of standard error under asymmetric LINEX loss function - MaRDI portal

Stein-type improved estimation of standard error under asymmetric LINEX loss function (Q5400782)

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scientific article; zbMATH DE number 6268725

Language	Label	Description	Also known as
English	Stein-type improved estimation of standard error under asymmetric LINEX loss function	scientific article; zbMATH DE number 6268725

Statements

scholarly article

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Stein-type improved estimation of standard error under asymmetric LINEX loss function (English)

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publication date

12 March 2014

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zbMATH Keywords

LINEX loss

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minimum risk equivariant estimator

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pre-test estimation

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standard error

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Stein-type improved estimator

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1080/02331880802190422

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Inadmissibility of the usual estimator for the variance of a normal distribution with unknown mean

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Inadmissibility of the Usual Estimators of Scale parameters in Problems with Unknown Location and Scale Parameters

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Improving on equivariant estimators

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Minimax estimation of powers of the variance of a normal population under squared error loss

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Risk behavior of variance estimators in multivariate normal distribution

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Improved minimax estimation of powers of the variance of a multivariate normal distribution under the entropy loss function

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Bayesian Estimation and Prediction Using Asymmetric Loss Functions

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On the admissibility of an estimator of a normal mean vector under a LINEX loss function

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Local asymptotic minimax risk bounds for asymmetric loss functions

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Preliminary-test estimation of the regression scale parameter when the loss function is asymmetric

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Generalized ridge regression estimators under the LINEX loss function

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Risk of a homoscedasticity pre-test estimator of the regression scale under LINEX loss

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Admissible estimation for finite population under the Linex loss function

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A note on almost unbiased generalized ridge regression estimator under asymmetric loss

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Minimax and \(\Gamma\)-minimax estimation for the Poisson distribution under LINEX loss when the parameter space is restricted

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A unified approach to improving equivariant estimators

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Optimal critical values of pre-tests when estimating the regression error variance: Analytical findings under a general loss structure

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Preliminary-test estimation of the standard error of estimate in linear regression

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Identifiers

zbMATH Open document ID

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10.1080/02331880802190422

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:5400782

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