Estimation of a quadratic function of the parameter of the mean in a linear model

Júlia Volaufová; Peter Volauf

Aplikace matematiky (1989)

  • Volume: 34, Issue: 2, page 155-160
  • ISSN: 0862-7940

Abstract

top
The paper deals with an optimal estimation of the quadratic function β ' 𝐃 β , where β k , 𝐃 is a known k × k matrix, in the model 𝐘 , 𝐗 β , σ 2 𝐈 . The distribution of 𝐘 is assumed to be symmetric and to have a finite fourth moment. An explicit form of the best unbiased estimator is given for a special case of the matrix 𝐗 .

How to cite

top

Volaufová, Júlia, and Volauf, Peter. "Estimation of a quadratic function of the parameter of the mean in a linear model." Aplikace matematiky 34.2 (1989): 155-160. <http://eudml.org/doc/15572>.

@article{Volaufová1989,
abstract = {The paper deals with an optimal estimation of the quadratic function $\mathbf \{\beta ^\{\prime \}D\beta \}$, where $\beta \in \mathcal \{R\}^k, \mathbf \{D\}$ is a known $k \times k$ matrix, in the model $\mathbf \{Y, X\beta , \sigma ^2I\}$. The distribution of $\mathbf \{Y\}$ is assumed to be symmetric and to have a finite fourth moment. An explicit form of the best unbiased estimator is given for a special case of the matrix $\mathbf \{X\}$.},
author = {Volaufová, Júlia, Volauf, Peter},
journal = {Aplikace matematiky},
keywords = {best unbiased quadratic estimator; quadratic function; best unbiased estimator; linear model; best unbiased quadratic estimator; quadratic function; best unbiased estimator},
language = {eng},
number = {2},
pages = {155-160},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Estimation of a quadratic function of the parameter of the mean in a linear model},
url = {http://eudml.org/doc/15572},
volume = {34},
year = {1989},
}

TY - JOUR
AU - Volaufová, Júlia
AU - Volauf, Peter
TI - Estimation of a quadratic function of the parameter of the mean in a linear model
JO - Aplikace matematiky
PY - 1989
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 34
IS - 2
SP - 155
EP - 160
AB - The paper deals with an optimal estimation of the quadratic function $\mathbf {\beta ^{\prime }D\beta }$, where $\beta \in \mathcal {R}^k, \mathbf {D}$ is a known $k \times k$ matrix, in the model $\mathbf {Y, X\beta , \sigma ^2I}$. The distribution of $\mathbf {Y}$ is assumed to be symmetric and to have a finite fourth moment. An explicit form of the best unbiased estimator is given for a special case of the matrix $\mathbf {X}$.
LA - eng
KW - best unbiased quadratic estimator; quadratic function; best unbiased estimator; linear model; best unbiased quadratic estimator; quadratic function; best unbiased estimator
UR - http://eudml.org/doc/15572
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.