Improved estimators in some linear errors-in-variables models in finite samples (original) (raw)

On choosing estimators'in a simple linear errors-in-variables model

Spiridon Penev

Communications in Statistics - Theory and Methods, 1993

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Estimators for the errors-in-variables model

Angel Garza

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A Simple Improvement of the IV Estimator for the Classical Errors-in-Variables Problem

Jarle Møen

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Comparing the efficiency of estimates in concrete errors-in-variables models under unknown nuisance parameters

Hans Schneeweiss, Alexander Kukush

Theory of Stochastic …, 2007

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Unbiased estimation of the MSE matrices of improved estimators in linear regression

Anoop Chaturvedi

Journal of Applied Statistics

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Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model

Artur Lemonte

Statistical Papers, 2009

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Estimation in linear errors-in-variables models with unknown error distribution

Michael Byrd

Biometrika, 2020

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Consistent Estimation of Linear and Nonlinear Errors-in- variables Models with Validation Information

Jungsywan Sepanski

1992

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A simulated semiparametric estimation of nonlinear errors-in-variables models

Cheng Hsiao

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James-Stein Estimation. Program Statistics Research, Technical Report No. 89-86

Ann Brandwein

1989

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Semiparametric estimation of nonlinear errors-in-variables models with validation study

Jungsywan Sepanski

Journal of Nonparametric Statistics, 1995

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Preliminary-Test Estimation of the Error Variance in Linear Regression

David Giles

Econometric Theory, 1987

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On R-Methods in Errors-In-Variables Models

Silvelyn Zwanzig

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An optimal joint estimator for regression parameters and the dispersion parameter in errors-in-variables nonlinear models

Alexander Kukush

Theory of Probability and Mathematical Statistics, 2009

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Mean squared error matrix comparison of least aquares and Stein-rule estimators for regression coefficients under non-normal disturbances

Shalabh Shalabh

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A SIMULATION STUDY TO COMPARISON SOME BIASED ESTIMATORS

IAEME Publication

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Sensitivity of Estimators to Three Levels of Correlation between Error Terms.

Adedayo Adepoju

akamaiuniversity.us

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A comparative study of the performances of some estimators of linear model with fixed and stochastic regressors

Kayode Ayinde

Global Journal of Pure and Applied Sciences, 2008

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Improved estimation of the linear regression model with autocorrelated errors

Anoop Chaturvedi

1990

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Improved Estimation in Measurement Error Models Through Stein Rule Procedure

Shalabh Iit

Journal of Multivariate Analysis, 1998

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Asymptotic properties of an estimator in errors-in-variables models in the presence of validation data

Jesper Lauridsen

Computers & Mathematics with Applications, 1999

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Estimation of the parameters of the multivariate linear errors in variables model

Frederick Dahm

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Estimators in simple random sampling: Searls approach

Dr.Vichit Lorchirachoonkul

Songklanakarin Journal of Science and Technology, 2013

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Estimation and Inference in Econometrics

Russell Davidson

The Economic Journal, 1994

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A Note on the Performance of Biased Estimators with Autocorrelated Errors

Shalini Chandra

International Journal of Mathematics and Mathematical Sciences, 2017

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Econometric Analysis on Efficiency of Estimators

Himani Singh

LIBERTAS MATHEMATICA (vol.I-XXXI), 2003

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Adjusted Likelihood Inference in an Elliptical Multivariate Errors-in-Variables Model

Tatiane Melo

Http Dx Doi Org 10 1080 03610926 2012 731126, 2014

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