The covariance between X and Y is calculated and recorded as sXY (and is a non-zero number). A linear transformation is performed on X. The linearly transformed variable is called W, where Wi = aXi , and a is less than -2. A linear transformation is also performed on Y . The linearly transformed variable is called Z, where Zi = Yi/a. The covariance between W and Z is calculated and recorded as sW Z. In this example...
(a) sXY would definitely be the same as sW Z
(b) sXY would definitely not be the same as sW Z
c) sXY might be the same as sW Z, but might not be
The covariance between X and Y is calculated and recorded as sXY (and is a non-zero...
transformation. Perform the mappings of lines x- 2 and y 3 under the transformation w = z2 where z = x + iy. Compute the angles between the curves in the u-v plane at the points of intersection. Hence check if the angles between the lines in the z-plane are the same as the angles between the curves in the u-v plane
transformation. Perform the mappings of lines x- 2 and y 3 under the transformation w = z2 where...
Solve only ,h , i and j ,
(1) Consider a so-called Bernoulli equation: y'+p(x)y = f(x)y" where n is a real number not equal to 0 nor 1. (e) Now we try an altogether different approach to dealing with y'+p(x)y (x)y" Let yi be a non-trivial solution to y' + p(x)y = 0 (easily determined). Consider the substitution y/. Solve this for y and determine y. Put the answer in the box provided. (f) Derive a first order separable...
(1 point) In general for a non-homogeneous problem " ()y r)y-f(x) assume that yi, ye is a fundamental set of solutions for the homogeneous problem y"+p(r)y' +(xy-0. Then the formula for the particular solution using the method of variation of parameters is are where W(z) is the Wronskian given by the determinant where ufe) and u ,-1-nent), d dz. NOTE When evaluating these indefinite integrals we take the arbitrary constant of integration to be zero. So we have- Wed and...
7. Suppose the data consist of repeated observations (y;it, X), t = 1, -.. ,T, for each in- dividual i = 1,... ,n. Here yit is the response and xt is a covariate vector. A linear mixed-effects model for analysing the population-averaged and subject-specific effects of Xit is of the following form Z;B + W;b; + €;, yi = where y (yi1;* . ,ViT)T; Z; is a T x p design matrix built from {xji} for the fixed effects B;...
Use this result without proof: if X and Y are two normal random variables with means ux and My respectively, and variances oź and oſ respectively, and Z = X+Y, Z is also a normal random variable with mean (ux + Hy) and variance (ox +og). a) Suppose Yı, Y2, Yz, Y4 and Y5 are all independent normal random variables, each with a mean of 1 and a variance of 5. What is the probability that (Y1 + 2Y2 +...
(1 point In general for a non-homogeneous problem y' + p(x) +(z) = f() assume that y. is a fundamental set of solutions for the homogeneous problemy" p(x) + (2) 0. Then the formula for the particular solution using the method of variation of parameters is where (z)/ and ()/() where W() is the Wronskian given by the determinant W (2) (2) W2) 31(2)/(2) dr. NOTE When evaluating these indefinite integrals we take the W(2) So we have the de...
4. (24 marks) Suppose that the random variables Yi,..., Yn satisfy Y-B BX,+ Ei, 1-1, , n, where βο and βι are parameters, X1, ,X, are con- stants, and e1,... ,en are independent and identically distributed ran- dom variables with Ei ~ N (0,02), where σ2 is a third unknown pa- rameter. This is the familiar form for a simple linear regression model, where the parameters A, β, and σ2 explain the relationship between a dependent (or response) variable Y...
I need help with question 30d
16. y = 0 (that is, y(x) = 0 for all x, also written y(x) = 0) is a solution of (2) (not of (1) if (x) • o , called the trivial solution 17. The sum of a solution of (1) and a solution of (2) is a solution of (1). 18. The difference of two solutions of (1) is a solution of (2). 19. If yı is a solution of (1), what...
between zero and one. Find the PDF of X+Y+Z 5. Let X be a random variable that takes nonnegative integer values, and is associated with a transform of the form 3- es where c is some scalar. Find EX], px (1), and E(XX # 0]
between zero and one. Find the PDF of X+Y+Z 5. Let X be a random variable that takes nonnegative integer values, and is associated with a transform of the form 3- es where c is...