Problem 1. a. Suppose the two-dimensional continuous random variable (X,Y) has joint pdf £xx (x, y) = { fx 2x + 4y, 0

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Chapter1: Combinatorial Analysis
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Problem 1.
a. Suppose the two-dimensional continuous random variable (X, Y) has
joint pdf
{ 2,
2x+4y, 0<x< 1, 0 < y < 1/2
elsewhere.
fxy(x, y) = {
[i.] Find ƒx₁y(x|y).
[ii.] Let B = {X + Y ≥ 3/4}. Find P(B).
b. For n ≥ 2, let X₁, X2,..., Xn be i.i.d. samples from the the uniform
distribution U(0, 0 + 1) where is some real number. Let
X(1) ≤ X(2) ≤ · · · ≤ X(n)
be the order statistics of the sample.
Jimmi
[i.] Show that (X(1), X(n)) is a sufficient statistic for 0.
->
[ii.] Find an and b(0) such that an (b(0) - X(n)) → W in distribution,
where W has an exponential distribution with density f(w) = e, for
w> 0 and 0 elsewhere.
Transcribed Image Text:Problem 1. a. Suppose the two-dimensional continuous random variable (X, Y) has joint pdf { 2, 2x+4y, 0<x< 1, 0 < y < 1/2 elsewhere. fxy(x, y) = { [i.] Find ƒx₁y(x|y). [ii.] Let B = {X + Y ≥ 3/4}. Find P(B). b. For n ≥ 2, let X₁, X2,..., Xn be i.i.d. samples from the the uniform distribution U(0, 0 + 1) where is some real number. Let X(1) ≤ X(2) ≤ · · · ≤ X(n) be the order statistics of the sample. Jimmi [i.] Show that (X(1), X(n)) is a sufficient statistic for 0. -> [ii.] Find an and b(0) such that an (b(0) - X(n)) → W in distribution, where W has an exponential distribution with density f(w) = e, for w> 0 and 0 elsewhere.
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