Improved maximum-likelihood estimation in a regression model with general parametrization-Reference-Cited by-同舟云学术

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Improved maximum-likelihood estimation in a regression model with general parametrization

Published:2011-08 Issue:8 Volume:81 Page:1027-1037
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Lemonte Artur J.

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

http://www.tandfonline.com/doi/pdf/10.1080/00949651003639196

Reference33 articles.

1. Bias correction in a multivariate normal regression model with general parameterization

2. Measurement Error Models

3. Estimation of an errors-in-variables regression model when the variances of the measurement errors vary between the observations

4. On Estimating Linear Relationships When Both Variables Are Subject to Heteroscedastic Measurement Errors

5. Some Aspects of Measurement Error in Linear Regression of Astronomical Data

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1. Bibliography;Matrix Differential Calculus with Applications in Statistics and Econometrics;2019-05-11

2. Matrix Differential Calculus with Applications in Statistics and Econometrics;Wiley Series in Probability and Statistics;2019-02-18

3. Improved estimation in a general multivariate elliptical model;Brazilian Journal of Probability and Statistics;2018-02-01

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