Joint Distribution Function
المؤلف:
Grimmett, G. and Stirzaker, D
المصدر:
Probability and Random Processes, 2nd ed. New York: Oxford University Press, 1992
الجزء والصفحة:
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20-4-2021
1860
Joint Distribution Function
A joint distribution function is a distribution function
in two variables defined by
so that the joint probability function satisfies
![D[(x,y) in C)]=intint_((X,Y) in C)P(X,Y)dXdY](https://mathworld.wolfram.com/images/equations/JointDistributionFunction/NumberedEquation1.gif) |
(4)
|
 |
(5)
|
 |
(8)
|
Two random variables
and
are independent iff
 |
(9)
|
for all
and
and
 |
(10)
|
A multiple distribution function is of the form
 |
(11)
|
REFERENCES:
Grimmett, G. and Stirzaker, D. Probability and Random Processes, 2nd ed. New York: Oxford University Press, 1992.
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