as mgf of gamma distribution Mx(t) =1/(1-t)
hence mgf of Y1 =My1(t)=1/(1-3t)3
therefore mgf of 2Y1 =M2y1(t) =My1(2t)=1/(1-3*2t)3 =1/(1-6t)3
similarly mgf of 6Y2=M6y2(t) =1/(1-1*6t)5 =1/(1-6t)5
hence mgf of W =Mw(t)=M2y1(t)*M6y2(t) =(1/(1-6t)3)*(1/(1-6t)5) =1/(1-6t)8 t<1/6
b)
comparing mgf of W with that of gamma distribution of
Mx(t) =1/(1-t)
W follows gamma distribution with parmeter =8 and =6
3. Let Yİ ~Gamma ( -3,ß-3), Y ~Gamma( -5, ß-1), and W-2% + 6K. a) (9...
Let Y_1~Gamma(α=3,β=3), Y_2~Gamma(α=5,β=1), and W=2Y_1+6Y_2. a) (9 pts) Find the moment generating function ofW Justify all steps b) (3 pts) Based on your result in part (a), what is the distribution of W(name and parameters)? n 2N(O, I) 2. IfZ NO, 1), then Ux(1) 3. ItY Gmmaa,B) and W then Wx(n) - s, and i-1 7. y's~ Poisson(W (i-l, ,Rind) and U-ŽYi, then U-Poisson(XA) 8 If%-Gamma(a, β) (i-I, ,Rind) and U-ΣΥί , then U~Gamma( ,4 β).(Note: all same β) 9...
5. Let W. Wa, be independent geometric random variables with parameterp. , a(9 pts) Find the moment generating function of Y- X-1W. Show your work and justify the steps. b) (3 pts) Using your result from part 5a, state the name of the distribution of Y along with its parameters.
9. (9 pts) The random variable r-Gamma(x-2, β-4). functions to prove that the moment generating function for the random variable W mw(t) (1-12t)2. Use the method of moment-generating 3Y +5is eSt 10, (9 pts) Suppose that Y has a gamma distribution with α-n/2 for some positive integer n and β equal to some specified value. Use the method of moment-generating functions to prove that W- 2Y /g has a Chi-squared distribution with n degrees of freedom. Make sure you show...
9. (9 pts) The random variable ??~??????????(∝= 2, ?? = 4). Use the method of moment-generating functions to prove that the moment generating function for the random variable ?? = 3?? + 5 is 10. 9. (9 pts) The random variable Y-Gamma(α-2. functions to prove that the moment generating function for the random variable W mw(t)120)2 4). Use the method of moment-generating 3Y 5 is est (1-12t)2 10, (9 pts) Suppose that Y has a gamma distribution with α-n/2 for...
Problem 2. (3 marks; 3, 2) Let Yi and Y, be two independeet discrete Let K-Y+Y a) Find the moment generating function of Y.Ys and K. For bistre ee.t) Le 64 24 Page 6 of dedicmail.utoronto.ca b) Using part a), find the probability mass function of K 64 know mklt)- 24
Problem 2. (5 marks. 3, 2) Let Yi and Y2 be two independent discrete random variables such that: pi (yi) = ,--2-1, 0 and P2(U2) = 2 = 1.6 Let K = Yi + Y2. a) Find the moment generating function of Y1,Y2 and K. b) Using part a), find the probability mass function of K
Exercise: Let Yİ,Y2, ,, be a random sample from a Gamma distribution with parameters and β. Assume α > 0 is known. a. Find the Maximum Likelihood Estimator for β. b. Show that the MLE is consistent for β. c. Find a sufficient statistic for β. d. Find a minimum variance unbiased estimator of β. e. Find a uniformly most powerful test for HO : β-2 vs. HA : β > 2. (Assume P(Type!Error)- 0.05, n 10 and a -...
(a) If var[X o2 for each Xi (i = 1,... ,n), find the variance of X = ( Xi)/n. (b) Let the continuous random variable Y have the moment generating function My (t) i. Show that the moment generating function of Z = aY b is e*My(at) for non-zero constants a and b ii. Use the result to write down the moment generating function of W 1- 2X if X Gamma(a, B) (a) If var[X o2 for each Xi (i...
9. (5 marks) Consider a Gamma random variable, Y ~ Ganzma(α = n/2, β). Find the moment- generating function of U = c Y. If U ~ , what is c?
10. (9 pts) Suppose that Yhas a gamma distribution with a -n/2 for some positive integer n and β equal to some specified value. Use the method of moment-generating functions to prove that W 2% has a Chi-squared distribution with n degrees of freedom. Make sure you show all steps and give reasons for each one.