The locally best estimators of the first and second order parameters in epoch regression models

Ludmila Kubáčková

Applications of Mathematics (1992)

  • Volume: 37, Issue: 1, page 1-12
  • ISSN: 0862-7940

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Kubáčková, Ludmila. "The locally best estimators of the first and second order parameters in epoch regression models." Applications of Mathematics 37.1 (1992): 1-12. <http://eudml.org/doc/15696>.

@article{Kubáčková1992,
abstract = {},
author = {Kubáčková, Ludmila},
journal = {Applications of Mathematics},
keywords = {regression linear model; epoch model; linear epoch regression model; locally best linear unbiased estimators; first order parameters; locally minimum variance quadratic unbiased and invariant estimators; estimable linear function; second order parameters; algorithms; block structure; sparseness of the covariance matrix; linear epoch regression model; locally best linear unbiased estimators; first order parameters; locally minimum variance quadratic unbiased and invariant estimators; estimable linear function; second order parameters; algorithms; block structure; sparseness of the covariance matrix},
language = {eng},
number = {1},
pages = {1-12},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {The locally best estimators of the first and second order parameters in epoch regression models},
url = {http://eudml.org/doc/15696},
volume = {37},
year = {1992},
}

TY - JOUR
AU - Kubáčková, Ludmila
TI - The locally best estimators of the first and second order parameters in epoch regression models
JO - Applications of Mathematics
PY - 1992
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 37
IS - 1
SP - 1
EP - 12
AB -
LA - eng
KW - regression linear model; epoch model; linear epoch regression model; locally best linear unbiased estimators; first order parameters; locally minimum variance quadratic unbiased and invariant estimators; estimable linear function; second order parameters; algorithms; block structure; sparseness of the covariance matrix; linear epoch regression model; locally best linear unbiased estimators; first order parameters; locally minimum variance quadratic unbiased and invariant estimators; estimable linear function; second order parameters; algorithms; block structure; sparseness of the covariance matrix
UR - http://eudml.org/doc/15696
ER -

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