7899
TOPICS
LATEST
ABOUT
AUTHORING AREA
PARTICIPATE
Your browser does not support JavaScript or it may be disabled!
Intuitive Parameterization of the Bivariate Normal Distribution
This Demonstration shows a parameterization of a bivariate normal distribution by specifying an angle of cross-correlation
. The controls
and
are the
and
spreads of the blob.
Contributed by:
Robert L. Brown
THINGS TO TRY
Rotate and Zoom in 3D
Slider Zoom
Automatic Animation
SNAPSHOTS
DETAILS
A bivariate normal distribution can be represented by three polar variables:
,
,
or with the parameters
,
,
, where
,
,
.
.
Conversely, define:
,
,
.
Then this gives
,
,
from
,
,
:
,
,
.
See the Wikipedia article
Gaussian function
.
RELATED LINKS
Bivariate Normal Distribution
(
Wolfram
MathWorld
)
PERMANENT CITATION
"
Intuitive Parameterization of the Bivariate Normal Distribution
" from
the Wolfram Demonstrations Project
http://demonstrations.wolfram.com/IntuitiveParameterizationOfTheBivariateNormalDistribution/
Contributed by:
Robert L. Brown
Share:
Embed Interactive Demonstration
New!
Download Demonstration as CDF »
Download Source Code »
(preview »)
Files require
Wolfram
CDF Player
or
Mathematica
.
Related Demonstrations
More by Author
Marginal Normality Does Not Imply Bivariate Normality
Ehsan Azhdari
Rotational Symmetry of Multivariate Uncorrelated Standard Normal Distribution
Diego M. Oviedo-Salcedo
Joint Density of Bivariate Gaussian Random Variables
John M. Shea
The Bivariate Normal Distribution
Chris Boucher
Maximum Likelihood Estimators with Normally Distributed Error
Seth J. Chandler
Joint Density of Trivariate Gaussian Random Variables
John M. Shea
The Normal Distribution
Gary H. McClelland
Standard Normal Distribution Areas
Ian McLeod
Impact of Sample Size on Approximating the Normal Distribution
Paul Savory (University of Nebraska-Lincoln)
Distribution of Normal Means with Different Sample Sizes
David Gurney
Related Topics
3D Graphics
Probability
Statistics
Browse all topics
Contribute
Make a new version of this Demonstration
Upload a new Demonstration
Note: To run this Demonstration you need Mathematica 7+ or the free Mathematica Player 7EX
Download or upgrade to
Mathematica Player 7EX
I already have
Mathematica Player
or
Mathematica 7+