On some alternative forms equivalent to Kruskal's condition for OLSE to be BLUE.

Gabriela Beganu

RACSAM (2007)

  • Volume: 101, Issue: 2, page 159-167
  • ISSN: 1578-7303

Abstract

top
The necessary and sufficient condition for the ordinary least squares estimators (OLSE) to be the best linear unbiased estimators (BLUE) of the expected mean in the general univariate linear regression model was given by Kruskal (1968) using a coordinate-free approach. The purpose of this article is to present in the same manner some alternative forms of this condition and to prove two of the Haberman’s equivalent conditions in a different and simpler way. The results obtained in the general univariate linear regression model are applied to a family of multivariate growth curve models for which the problem of the equality between OLSE and BLUE is treated in a coordinate-free approach.

How to cite

top

Beganu, Gabriela. "On some alternative forms equivalent to Kruskal's condition for OLSE to be BLUE.." RACSAM 101.2 (2007): 159-167. <http://eudml.org/doc/42016>.

@article{Beganu2007,
abstract = {The necessary and sufficient condition for the ordinary least squares estimators (OLSE) to be the best linear unbiased estimators (BLUE) of the expected mean in the general univariate linear regression model was given by Kruskal (1968) using a coordinate-free approach. The purpose of this article is to present in the same manner some alternative forms of this condition and to prove two of the Haberman’s equivalent conditions in a different and simpler way. The results obtained in the general univariate linear regression model are applied to a family of multivariate growth curve models for which the problem of the equality between OLSE and BLUE is treated in a coordinate-free approach.},
author = {Beganu, Gabriela},
journal = {RACSAM},
language = {eng},
number = {2},
pages = {159-167},
title = {On some alternative forms equivalent to Kruskal's condition for OLSE to be BLUE.},
url = {http://eudml.org/doc/42016},
volume = {101},
year = {2007},
}

TY - JOUR
AU - Beganu, Gabriela
TI - On some alternative forms equivalent to Kruskal's condition for OLSE to be BLUE.
JO - RACSAM
PY - 2007
VL - 101
IS - 2
SP - 159
EP - 167
AB - The necessary and sufficient condition for the ordinary least squares estimators (OLSE) to be the best linear unbiased estimators (BLUE) of the expected mean in the general univariate linear regression model was given by Kruskal (1968) using a coordinate-free approach. The purpose of this article is to present in the same manner some alternative forms of this condition and to prove two of the Haberman’s equivalent conditions in a different and simpler way. The results obtained in the general univariate linear regression model are applied to a family of multivariate growth curve models for which the problem of the equality between OLSE and BLUE is treated in a coordinate-free approach.
LA - eng
UR - http://eudml.org/doc/42016
ER -

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.