Suppose Y is a continuous random variable that has a pdf given by
f(y) = c exp{-y - e^-y}
for y ∈ ℝ for some constant c, and cdf
F(y) = ∫_{-∞}^{y} c exp{-t - e^-t}dt = c exp{-e^-y}
for y ∈ ℝ.
(a) Write down the value of c.
(b) Compute P(Y > 1).
(c) Find the pdf of random variable X = e^-Y, and hence identify the distribution of X.
Hint: For x > 0,
P(X ≤ x) = P(e^-Y ≤ x) = P(Y ≥ -ln x).