Joint Distribution Function
A joint distribution function is a Distribution Function 
in two variables defined by
 |  |  | (1) |
 | |  | (2) |
 | |  | (3) |
so that the joint probability function satisfies
 | (4) |
 | (5) |
|  |  | |
|  | (6) |
 | (7) |
A multiple distribution function is of the form
 | (8) |
References
Grimmett, G. and Stirzaker, D. Probability and Random Processes, 2nd ed. New York: Oxford University Press, 1992.
- Clebsch-Aronhold Notation
- Clebsch Diagonal Cubic
- Clebsch-Gordan Coefficient
- Clement Matrix
- Clenshaw Recurrence Formula
- Clifford Algebra
- Clifford's Circle Theorem
- Clifford's Curve Theorem
- Cliff Random Number Generator
- Clique
- Clique Number
- Clock Solitaire
- Closed Curve
- Closed Curve Problem
- Closed Disk
- Closed Form
- Closed Graph Theorem
- Closed Interval
- Closed Set
- Close Packing
- Closure
- Clothoid
- Clove Hitch
- Clump
- Cluster