Question: Let X and Y be two continuous random variables with joint probability density f(x, y). The joint distribution function F(a, b) is defined as follows:
Let X and Y be two continuous random variables with joint probability density f(x, y). The joint distribution function F(a, b) is defined as follows:

Verify each of the following:
a. F (-∞, -∞) = F(-∞, y) = F(x, -∞) = 0
b. F (∞, ∞) = 1
c. If a2 ≥ a1 and b2 ≥ b1 ,then F (a2, b2) - F (a1, b2) ≥ F (a2, b1) - F (a1, b1).
F(a, b) = P(X s a, Y s b) = f(x, y) dy dx %3D
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To verify each of the statements we will use the properties of the joint probability density function PDF and the cumulative distribution function CDF ... View full answer
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