Generalized normal distributions.

Robert M. Tardiff

Stochastica (1980)

  • Volume: 4, Issue: 3, page 221-225
  • ISSN: 0210-7821

Abstract

top
It is well known (see [2], p. 158) that if X and Y are independent random variables with a continuous joint probability density function (pdf) which is spherically symmetric about the origin, then both X and Y are normally distributed. In this note we examine the condition that the joint pdf be spherically symmetric about the origin and show that the normal distribution is strongly dependent on the choice of metric for R2.

How to cite

top

Tardiff, Robert M.. "Generalized normal distributions.." Stochastica 4.3 (1980): 221-225. <http://eudml.org/doc/38835>.

@article{Tardiff1980,
abstract = {It is well known (see [2], p. 158) that if X and Y are independent random variables with a continuous joint probability density function (pdf) which is spherically symmetric about the origin, then both X and Y are normally distributed. In this note we examine the condition that the joint pdf be spherically symmetric about the origin and show that the normal distribution is strongly dependent on the choice of metric for R2.},
author = {Tardiff, Robert M.},
journal = {Stochastica},
keywords = {Distribución normal; Función densidad de probabilidad; Simetría esférica; Variables aleatorias; generalized normal distributions; spherical symmetric},
language = {eng},
number = {3},
pages = {221-225},
title = {Generalized normal distributions.},
url = {http://eudml.org/doc/38835},
volume = {4},
year = {1980},
}

TY - JOUR
AU - Tardiff, Robert M.
TI - Generalized normal distributions.
JO - Stochastica
PY - 1980
VL - 4
IS - 3
SP - 221
EP - 225
AB - It is well known (see [2], p. 158) that if X and Y are independent random variables with a continuous joint probability density function (pdf) which is spherically symmetric about the origin, then both X and Y are normally distributed. In this note we examine the condition that the joint pdf be spherically symmetric about the origin and show that the normal distribution is strongly dependent on the choice of metric for R2.
LA - eng
KW - Distribución normal; Función densidad de probabilidad; Simetría esférica; Variables aleatorias; generalized normal distributions; spherical symmetric
UR - http://eudml.org/doc/38835
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.