2. Suppose that X1, X2, ..., Xn " N(41,01) and Yı,Y2,...,Ym * N(H2;02) are two independent...
SupposeX1,...,Xn are independent random samples from a population distributed as N(μ1,σ21) andY1,...,Ym are a independent random samples from N(μ2,σ22). Suppose further that Xi‘s and Yj‘s are independent for any i=1,...,n and j= 1,...,m.a. Determine E[ ̄X+ ̄Y]. b.Determine Var [ ̄X+ ̄Y]. c.What is the distribution of ̄X+ ̄Y?
Suppose X1, X2, . . . , Xn follows Bernoulli(p), and Y1, Y2, . . . , Ym follows Bernoulli(p + q), where both 0 < p, q < 0.5. Compute the moment estimator of p and q using first moments.
5. We have two independent samples of n observations X1, X2, .. . , Xn and Yı, Y2,.. . , Yn We want to test the hvpothesis H 0 : μΧ-My versus the alternative H1 : μΧ * My (a) First, assume that the null hypothesis Ho is true and find the MLE for μ-Ac-My (b) Then plug this estimate into the log likelihood along with the MLE's μχ-x and My-- to calculate the LRT statistic (c) Is this likelihood...
explan the answer 1l. Suppose that X1, X2,... Xn are independent random variables. Assume that ElXi] /4 and Var(X )-σ, where i 1, 2, . .., n. If ai , aam. , an are constants. 1,a2, , an are constan (i) Write down expression for (i) E{Σ,i ai Xi) and (ii) Var(Li la(Xi). (i) Rewrite the expression if X,'s are not independent.
Can someone help me pleases Suppose that X- (Xi, X2,.., Xn) and Y - (Y,Y2,..., Ym) are random samples from continuous distributions F and G, respectively. Wilcoxon's two-sample test statistic W -W(X,Y) is defined to be Ri where Ri is the rank of Y in the combined sample. 1, Y2,.. . , Ym) are random samples from otherw . Baed on abe stakment, show that bbtain th mean anl varians
1. You have two independent samples, X1,... , Xn and Y,... , Ym drawn from populations with continuous distributions. Suppose the two samples are combined and the combined set of values are put in increasing order. Let Vr-1 if the value with rank r in the combined sample is a Y and V0 if it is an X, for r-1...., N, where N-m+n Show that, if the two populations are the same then mn The general linear rank statistic is...
Suppose X1,X2,…,Xn represent the outcomes of n independent Bernoulli trials, each with success probability p. Note that we can write the Bernoulli distribution as: Suppose X1 2 X, represent the outcomes of n independent Bernou i als, each with success probabil ,p. Note that we can writ e the Bernoulǐ distribution as 0,1 otherwise Given the Bernoulli distributional family and the iid sample of X,'s, the likelihood function is: -1 a. Find an expression for p, the MLE of p...
Q2 Suppose X1, X2, ..., Xn are i.i.d. Bernoulli random variables with probability of success p. It is known that p = ΣΧ; is an unbiased estimator for p. n 1. Find E(@2) and show that p2 is a biased estimator for p. (Hint: make use of the distribution of X, and the fact that Var(Y) = E(Y2) – E(Y)2) 2. Suggest an unbiased estimator for p2. (Hint: use the fact that the sample variance is unbiased for variance.) Xi+2...
2. Suppose that {X1, ..., Xn} are independent and identically distributed random variables from a distribution with p.d.f. See-ox if x > 0 f(x) = 10 if x = 0 Let Y = min <i<n X;. Find the p.d.f. of Y.
Let Xi, X2, X3 be i.id. N(0.1) Suppose Yı = Xi + X2 + X3,Ý, = Xi-X2, у,-X,-X3. Find the joint pdf of Y-(y, Ya, y), using: andom variables. a. The method of variable transformations (Jacobian), b. Multivariate normal distribution properties.