joint probability density function

Then X and Y are independent if and only if f(x,y) = fX(x)fY(y), where fX and fY are the pdfs of X and Y. The term applies also to the generalization of this to more than two random variables. For two variables, it may be called the bivariate and, for more than two, the multivariate probability density function.

• Chalkdust
• chance nodes
• chance variable
• change of base
• change of basis
• change of coordinates
• change of observer
• change of variable
• chaos
• character
• characteristic
• characteristic equation
• characteristic function
• characteristic function
• characteristic of a field
• characteristic polynomial
• characteristic value
• characteristic vector
• character table
• chart
• chart
• Chebyshev, Pafnuty Lvovich
• Chebyshev polynomials
• Chebyshev's inequality
• Chebyshev's Theorem