Bivariate Normal Distribution

MVN redirects here. For the airport with that IATA code in Mount Vernon, Kentucky, see Mount Vernon Airport. In probability theory and statistics, a multivariate normal distribution, also sometimes called a multivariate Gaussian distribution, is a specific probability distribution, which can be thought of as a generalization to higher dimensions of the one-dimensional normal distribution (also called a Gaussian distribution). It is also closely related to matrix normal distribution.
See more at Wikipedia.org...

Two variables follow the bivariate normal distribution if for each value of one variable, the corresponding values of another variable are normally distributed . The bivariate normal probability distribution function for a pair of continuous random variables (X and Y) is given by:



where
1, 2 are the respective means of the random variables X and Y
1, 2
is the correlation coefficient of X and Y
is the base of the natural logarithm, sometimes called Euler's e (2.71...)
is the constant Pi (3.14...)

See also, Normal Distribution , Elementary Concepts (Normal Distribution) 

B: (Matematika) sebaran normal dwipeubah
Built to Babylon by Hikmat Gumilar Visit my Website;