Joint Distribution Function

A joint distribution function is a Distribution Function in two variables defined by

			(1)
			(2)
			(3)

(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.

• Neumann Algebra
• Neumann Boundary Conditions
• Neumann Function
• Neumann Polynomial
• Neumann Series (Bessel Function)
• Neumann Series (Integral Equation)
• Neusis Construction
• Neville's Algorithm
• Neville Theta Function
• Newcomb's Paradox
• Newman-Conway Sequence
• Newton-Cotes Formulas
• Newtonian Form
• Newton Number
• Newton-Raphson Fractal
• Newton-Raphson Method
• Newton's Backward Difference Formula
• Newton's Diverging Parabolas
• Newton's Divided Difference Interpolation Formula
• Newton's Formulas
• Newton's Forward Difference Formula
• Newton's Identities
• Newton's Iteration
• Newton's Method
• Newton's Parallelogram