1-1 postmultiply by . Take inverses of the resulting expression. -A22A21 I 4.13. Show the following if X is N,(. E) wit...
Specify each of the following. (a) The conditional distribution of X,, given that X2-X2 for the joint distribution with, μ1-0,P2-2, σ11-2, σ22-1, and P12:5 (b) The conditional distribution of X2, given that X1 - X1 and X3X3 for the joint distribution in Let X be N3 (H, 2) with ' [-3, 1, 4] and 1 -2 0 -2 5 0 L00 2 (c) The conditional distribution of X3, given that Xx and X2x2 for the joint distribution in Let X...
Need step by step explanation with the formula
used.
Following is my question that has been answered:
I received the following answer to the questions. However, I do
not understand what formula was used in part b and c. Could anyone
help me to understand the solution with more details?
Thanks!
Specify each of the following. (a) The conditional distribution of X,, given that X2-X2 for the joint distribution with, μ1-0,P2-2, σ11-2, σ22-1, and P12:5 (b) The conditional distribution of...
1 G.3.e.1) Here is: , Norma c und i st tx, μ, σ] Clear(x, μ, σ]; Normal cumdist[x, μ, σ] You can be sure that Norma lcumdist[x. μ, σ] computes out to the same value no matter what μ and σ are Agre Disagree... Here is: Clear(x, μ, σ]; Norma!cumdist [x, μ, σ] when you put x μ + s ơ, you find that Normalcumdist μ + s σ. μ σ Agre..Disagree.. computes out t the same value no ma...
1.(c)
2.(a),(b)
5. Let Xi,..., X, be iid N(e, 1). (a) Show that X is a complete sufficient statistic. (b) Show that the UMVUE of θ 2 is X2-1/n x"-'e-x/θ , x > 0.0 > 0 6. Let Xi, ,Xn be i.i.d. gamma(α,6) where α > l is known. ( f(x) Γ(α)θα (a) Show that Σ X, is complete and sufficient for θ (b) Find ElI/X] (c) Find the UMVUE of 1/0 -e λ , X > 0 2) (x...
Please show how did you came up with the answer, show formulas
and work. Also, please do Parts e to i. Thank you so much
1. Consider the following probability mass function for the discrete joint probability distribution for random variables X and Y where the possible values for X are 0, 1, 2, and 3; and the possible values for Y are 0, 1, 2, 3, and 4. p(x,y) <0 3 0 4 0.01 0 0 0.10 0.05 0.15...
(20 points) Consider the following joint distribution of X and Y ㄨㄧㄚ 0 0.1 0.2 1 0.3 0.4 (a) Find the marginal distributions of X and Y. (i.e., Px(x) and Py()) (b) Find the conditional distribution of X given Y-0. (i.e., Pxjy (xY-0)) (c) Compute EXIY-01 and Var(X)Y = 0). (d) Find the covariance between X and Y. (i.e., Cov(X, Y)) (e) Are X and Y independent? Justify your answer.
(20 points) Consider the following joint distribution of X and...
(n-1)S for the conditional 1-3) Show that the moment generating function(MGF) of distribution of2,A given X is ,(n-1)SX (1-2) (2,1 1 -(n-l)/2 E exp t 2 Hint: Notice that , is a pdf. That is, ] 77 (n-1)S | X E exp .2 in a multi-integral form using the conditional pdf of Express X2, given X. Then try to consider the integrand as another joint pdf times a constant. Then the answer will be the constant [Hint] [Hint 2] 22-1...
Only 1-3)
,X, be a random sample from N(u,0") and let X and S be sample 1. Let mean and sample variance, respectively. In order to show that X and S are independent, tollow the steps below. x - x -X, and show the joint pdf of ,X,,..., X 1-1) Use the change of variable technique is (n-1)s n-u) еxp f(X,x 2a 20 av2n Use Jacobian for n x n variable transformation 1-2) Use the fact that X~N(4, /n), and...
Only 1-3)
,X, be a random sample from N(u,0") and let X and S be sample 1. Let mean and sample variance, respectively. In order to show that X and S are independent, tollow the steps below. x - x -X, and show the joint pdf of ,X,,..., X 1-1) Use the change of variable technique is (n-1)s n-u) еxp f(X,x 2a 20 av2n Use Jacobian for n x n variable transformation 1-2) Use the fact that X~N(4, /n), and...
1. (a) A point is selected at random on the unit interval, dividing it into two pieces with total length 1. Find the probability that the ratio of the length of the shorter piece to the length of the longer piece is less than 1/4. 3 marks (b) Suppose X1 and X2 are two iid normal N(μ, σ*) variables. Define Are random variables V and W independent? Mathematically justify your answer 3 marks (c) Let C denote the unit circle...