# On estimation of parameters in the bivariate linear errors-in-variables model

Applicationes Mathematicae (1999)

- Volume: 25, Issue: 4, page 401-410
- ISSN: 1233-7234

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topCzapkiewicz, Anna. "On estimation of parameters in the bivariate linear errors-in-variables model." Applicationes Mathematicae 25.4 (1999): 401-410. <http://eudml.org/doc/219214>.

@article{Czapkiewicz1999,

abstract = {We discuss some methods of estimation in bivariate errors-in-variables linear models. We also suggest a method of constructing consistent estimators in the case when the error disturbances have the normal distribution with unknown parameters. It is based on the theory of estimating variance components in linear models. A simulation study is presented which compares this estimator with the maximum likelihood one.},

author = {Czapkiewicz, Anna},

journal = {Applicationes Mathematicae},

keywords = {regression line; variance component; simulation study; maximum likelihood method; estimator; replication model; variance components; maximum likelihood estimators; simulations},

language = {eng},

number = {4},

pages = {401-410},

title = {On estimation of parameters in the bivariate linear errors-in-variables model},

url = {http://eudml.org/doc/219214},

volume = {25},

year = {1999},

}

TY - JOUR

AU - Czapkiewicz, Anna

TI - On estimation of parameters in the bivariate linear errors-in-variables model

JO - Applicationes Mathematicae

PY - 1999

VL - 25

IS - 4

SP - 401

EP - 410

AB - We discuss some methods of estimation in bivariate errors-in-variables linear models. We also suggest a method of constructing consistent estimators in the case when the error disturbances have the normal distribution with unknown parameters. It is based on the theory of estimating variance components in linear models. A simulation study is presented which compares this estimator with the maximum likelihood one.

LA - eng

KW - regression line; variance component; simulation study; maximum likelihood method; estimator; replication model; variance components; maximum likelihood estimators; simulations

UR - http://eudml.org/doc/219214

ER -

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