Suppose Xn is an iid random process with Xn exponential havi

Suppose X_n is an iid random process with X_n exponential having E(X_) = 3 Find the pdf f_2, 5, 9(x_2, x_5, x_9). Find the autocovariance C(3, 11)

Solution

Xn is an iid random process with Xn exponential having E(Xn)=3

then pdf of Xn is fn(xn)=1/3*exp[-xn/3]                        xn>0

                                =0       otherwise

1. the pdf of f2,5,9(x2,x5,x9)=f2(x2)*f5(x5)*f9(x9)   [since Xi\'s are independent]

                                      =1/3*exp[-x2/3] *1/3*exp[-x5/3] *1/3*exp[-x9/3]

                                      =1/33*exp[-(x2+x5+x9)/3]           x2>0, x5>0, x9>0

2. the autocovariance C(3,11)=Cov(X3,X11)=E[X3X11]-E[X3]*E[X11]=E[X3]*E[X11]-E[X3]*E[X11]=0 [since Xi\'s are independent]

hence C(3,11)=0

                              

 Suppose X_n is an iid random process with X_n exponential having E(X_) = 3 Find the pdf f_2, 5, 9(x_2, x_5, x_9). Find the autocovariance C(3, 11)SolutionXn is

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