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eet the joint p.d.f. of X1 and X2 be:โ„Ž(๐‘ฅ1, ๐‘ฅ2) = {8๐‘ฅ1๐‘ฅ2 for 0 < ๐‘ฅ1 < ๐‘ฅ2 < 10 otherwisea) Find the joint p.d.f. of ๐‘Œ1 = ๐‘‹1๐‘‹2and ๐‘Œ2 = ๐‘‹2b) Are ๐‘Œ1 and ๐‘Œ2 independent? Why? (10 points

Question

eet the joint p.d.f. of X1 and X2 be:โ„Ž(๐‘ฅ1, ๐‘ฅ2) = {8๐‘ฅ1๐‘ฅ2 for 0 < ๐‘ฅ1 < ๐‘ฅ2 < 10 otherwisea) Find the joint p.d.f. of ๐‘Œ1 = ๐‘‹1๐‘‹2and ๐‘Œ2 = ๐‘‹2b) Are ๐‘Œ1 and ๐‘Œ2 independent? Why? (10 points

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Solution

a) To find the joint p.d.f of Y1 = X1X2 and Y2 = X2, we need to use the Jacobian transformation method.

First, we define the transformation Y1 = X1X2 and Y2 = X2. The inverse transformation is then X1 = Y1/Y2 and X2 = Y2.

Next, we find the Jacobian

Similar Questions

. The two-dimensional random variables ( ๐‘‹ , ๐‘Œ ) (X,Y) have the joint density function: ๐‘“ ( ๐‘ฅ , ๐‘ฆ ) = 2 ๐‘ฅ + ๐‘ฆ 20 , ๐‘ฅ = 0 , 1 , 2 , ย andย  ๐‘ฆ = 0 , 1 , 2 f(x,y)= 20 2x+y โ€‹ ,x=0,1,2,ย andย y=0,1,2 (a) Find the joint cumulative distribution function (CDF) of ๐‘‹ X and ๐‘Œ Y. (b) Determine if ๐‘‹ X and ๐‘Œ Y are independent.

The joint pdf of two continuous random variables ๐‘‹X and ๐‘ŒY is given by๐‘“๐‘‹๐‘Œ(๐‘ฅ,๐‘ฆ)={4๐‘ฅ๐‘ฆ1440โ‰ค๐‘ฅโ‰ค14,0โ‰ค๐‘ฆโ‰ค140otherwisef XYโ€‹ (x,y)={ 14 4 4xyโ€‹ 0โ€‹ 0โ‰คxโ‰ค14,0โ‰คyโ‰ค14otherwiseโ€‹ Are ๐‘‹X and ๐‘ŒY independent?YesNo

For the Joint PMF as shown, find each of following quantities:๐‘๐‘‹ ๐‘ฅ , ๐‘๐‘Œ ๐‘ฆ , ๐‘๐‘‹|๐‘Œ ๐‘ฅ ๐‘ฆ , ๐‘๐‘Œ|๐‘‹ ๐‘ฆ ๐‘ฅ , ๐ธ[๐‘‹|๐‘Œ = 3]Also find whether ๐‘‹ and ๐‘Œ are independent or not.[The graph shows ๐‘๐‘‹,๐‘Œ(๐‘ฅ, ๐‘ฆ)/12]

b) Find ๐‘๐‘Œ (๐‘ฆ), the marginal p.m.f. of ๐‘Œ

Let the discrete RV ๐‘‹~๐‘ˆ[โˆ’2,2] (Uniform dist.). Let ๐‘Œ = ๐‘‹2a) What values X and Y can take? Find pdfโ€™s of both X and Y.b) Compute the joint pdf, ๐‘“๐‘‹๐‘Œ(๐‘ฅ๐‘–, ๐‘ฆ๐‘–)c) Compute the E(X) and E(Y)d) Compute the Cov(X,Y)e) Compute the ๐œŒ๐‘‹๐‘Œ = ๐ถ๐‘œ๐‘Ÿ(๐‘‹, ๐‘Œ).f) Are X and Y independent? Prove it.

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