Problem 3 Let X,..X, be independent and identically distributed continuous random variables with a positive continuous joint probability density function f(X1.==. Ag}. (a) Suppose that the distribution of X1.....X, is radially symmetric about the origin, which means that the joint probability density function f satisfies f(x...) = f(y....ya) What are all possible distributions of X,? (You can specify the form of the density function if you like, but make sure that you only specify valid density functions.) Explain your answer. (b) Suppose that the joint probability density function satisfies the relation xi t.+x = y} + + y;. %3D whenever xil++ x= lyil ++ ly,l What are all possible distributions of X,? (You can specify the form of the density function if you like, but make sure that you only specify valid density functions.) Explain your answer whenever %3D

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Problem 3 Let X,.X, be independent and identically distributed continuous random variables with
a positive continuous joint probability density function f(X1. Xg).
(a) Suppose that the distribution of X1,....X, is radially symmetric about the origin, which means
that the joint probability density function f satisfies
f(x.... ) = f(y.... Ya)
What are all possible distributions of X,? (You can specify the form of the density function if
you like, but make sure that you only specify valid density functions.) Explain your answer.
(b) Suppose that the joint probability density function satisfies the relation
f(x )= f6 ya)
What are all possible distributions of X,? (You can specify the form of the density function if
you like, but make sure that you only specify valid density functions.) Explain your answer.
whenever
i +*+x = y} + + v.
%3D
...
whenever
xil ++ x, = \yal ++ lynl.
%3D
...
Transcribed Image Text:Problem 3 Let X,.X, be independent and identically distributed continuous random variables with a positive continuous joint probability density function f(X1. Xg). (a) Suppose that the distribution of X1,....X, is radially symmetric about the origin, which means that the joint probability density function f satisfies f(x.... ) = f(y.... Ya) What are all possible distributions of X,? (You can specify the form of the density function if you like, but make sure that you only specify valid density functions.) Explain your answer. (b) Suppose that the joint probability density function satisfies the relation f(x )= f6 ya) What are all possible distributions of X,? (You can specify the form of the density function if you like, but make sure that you only specify valid density functions.) Explain your answer. whenever i +*+x = y} + + v. %3D ... whenever xil ++ x, = \yal ++ lynl. %3D ...
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