A continuous random variable X has the following pdf f (x) = kxe− 1 x ; k is a constant.x > 0
X2
(a) Find the value of k for fX(x) to be a valid probability density function.
(b) Find the cumulant generating function of X.
(b) Using the cumulant generating function or otherwise, find the mean and variance of X.
(a)
"=k\\lim\\limits_{A\\to \\infin}\\displaystyle\\int_{0}^{A}xe^{-x}dx"
"=k\\lim\\limits_{A\\to \\infin}[-xe^{-x}]\\begin{matrix}\n A \\\\\n 0\n\\end{matrix}+k\\lim\\limits_{A\\to \\infin}\\displaystyle\\int_{0}^{A}e^{-x}dx"
"=0-k\\lim\\limits_{A\\to \\infin}[e^{-x}]\\begin{matrix}\n A \\\\\n 0\n\\end{matrix}"
"=k=1=>k=1""f(x) = \\begin{cases}\n xe^{-x} &x>0 \\\\\n 0 & x\\leq0\n\\end{cases}"
(b)
"=\\lim\\limits_{A\\to \\infin}\\displaystyle\\int_{0}^{A}xe^{x(t-1)}dx"
"\\int xe^{(t-1)x}dx=\\dfrac{1}{t-1}xe^{(t-1)x}-\\dfrac{1}{t-1}\\int e^{(t-1)x}dx"
"M_x(t)" exists for "t<1"
"=\\lim\\limits_{A\\to \\infin}[\\dfrac{1}{t-1}xe^{(t-1)x}-\\dfrac{1}{(t-1)^2}e^{(t-1)x}]\\begin{matrix}\n A \\\\\n 0\n\\end{matrix}"
"=-0-0-(-0-\\dfrac{1}{(t-1)^2})=\\dfrac{1}{(t-1)^2}, t<1"
"K_x(t)=\\ln(M_x(t))=-2\\ln(1-t), t<1"
c)
"K_x''(t)=\\dfrac{2}{(1-t)^2}"
"mean=E(X)=K_x'(0)=\\dfrac{2}{1-0}=2"
"Var(X)=K_x''(0)=\\dfrac{2}{(1-0)^2}=2"
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