Let Yi,... , Yv be independent random variables with E(Yi) A,ơ for 1,..., N. Is this a generalized linear model? Give r...
1.2 Let Yi and Y2 be independent random variables with Yi N(0, 1) and Y2 N(3,4). (a) What is the distribution of Y?? (b) If y-l (Y2-3)/2 | , obtain an expression for уту. What is its Yi and its distribution is yMVN(u, V), obtain an expression for yTV-ly. What is its distribution?
1. Let Yi,Y2, ,y, be independent and identically distributed N( 1,02) random variables. Show that, EVn P( Y where ) denotes the cumulative distribution function of standard normal You need to show both the equalities
Exercise 6 Let Yi, Y2, Ys be independent random variables with distribution N (i, i2) for i = 1, 2, 3 (that is, each is normally distributed with mean mean E(Y) = i and variance V(X) = i2). For each of the following situations, use the Y, i = 1, 2, 3 to construct a statistic with the indicated distribution a) X2 with 3 degrees of freedom b) t distribution with 2 degrees of freedom c) F distribution with 1...
Let Yi, Y2,.... Yn denote independent and identically distributed uniform random variables on the interval (0,4A) obtain a method of moments estimator for λ, λ. Calculate the mean squared error of this estimator when estimating λ. (Your answer will be a function of the sample size n and λ
Let Yi, Y2,.... Yn denote independent and identically distributed uniform random variables on the interval (0,4A) obtain a method of moments estimator for λ, λ. Calculate the mean squared error of this estimator when estimating λ. (Your answer will be a function of the sample size n and λ
(5) Let Yi,...Y be independent random variables from a distribution with distribution function PlY Su)- Fu), and density function f(w). Now let Ya) be the minimum of all the observations. Show that the density function of Ya) is given by fm) (y) = n(1-F(v))"-1/(y) Hint: First write out the CDF, P(Ya) S y), then using independence of the observations put it in terms of the distribution function F(v), and then take the derivative to get the density.
Exercise5 Consider a linear model with n -2m in which yi Bo Pi^i +ei,i-1,...,m, and Here €1, ,En are 1.1.d. from N(0,ơ), β-(A ,A, β), and σ2 are unknown parameters, zı, known constants with x1 +... + Xm-Tm+1 + +xn0 , zn are 1, write the model in vector form as Y = Xß+ε describing the entries in the matrix X. 2, Determine the least squares estimator β of β.
Exercise5 Consider a linear model with n -2m in which...
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
3. Suppose that Yi and 2 are continuous random variables with joint pdf given by and zero otherwise, for some constant c >。 (a) Find the value of c. (b) Are Yi and Y2 independent ? Justify your answer. (c) Let Y = Yi + ½. compute the probability P(Y 3). (d) Let U and V be independent continuous random variables having the same (marginal) distri- 3 MARKS 1 MARK 3 MARKS bution as Y2. Identify the distribution of random...
Let X1, X2, X3 be independent random variables with E(X1) = 1, E(X2) = 2 and E(X3) = 3. Let Y = 3X1 − 2X2 + X3. Find E(Y ), Var(Y ) in the following examples. X1, X2, X3 are Poisson. [Recall that the variance of Poisson(λ) is λ.] X1, X2, X3 are normal, with respective variances σ12 = 1, σ2 = 3, σ32 = 5. Find P(0 ≤ Y ≤ 5). [Recall that any linear combination of independent normal...