The probability density function (PDF) of X is
The cumulative distribution function (CDF) of X is
Now,
The cumulative distribution function (CDF) of Y = -ln X is
The probability density function (PDF) of Y = -ln X is
is 3 let the X N UNIFCol), and dowrity function of y =-1n x. Then what...
) Let X, Y be two random variables with the following properties. Y had density function fY (y) = 3y 2 for 0 < y < 1 and zero elsewhere. For 0 < y < 1, given Y = y, X had conditional density function fX|Y (x | y) = 2x y 2 for 0 < x < y and zero elsewhere. (a) Find the joint density function fX,Y . Be precise about where the values (x, y) are non-zero....
(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...
(i) Find a non-zero polynomial in Z3 x| which induces a zero function on Z3. f(x), g(x) R have degree n and let co, c1,... , cn be distinct elements in R. Furthermore, let (ii) Let f(c)g(c) for all i = 0,1,2,...n. g(x) Prove that f(x - where r, s E Z, 8 ± 0 and gcd(r, s) =1. Prove that if x is a root of (iii) Let f(x) . an^" E Z[x], then s divides an. aoa1 (i)...
how to solve this? the answer is b 1. Find the x that minimizes the function y=- nction y = 200 x? - 2 1n(x): a. X=1 b. x=0.05 c. x=0.125 d. none of the above
Let X, Y be independent random variables where X is binomial(n = 4, p = 1/3) and Y is binomial(n = 3,p = 1/3). Find the moment-generating functions of the three random variables X, Y and X + Y . (You may look up the first two. The third follows from the first two and the behavior of moment-generating functions.) Now use the moment-generating function of X + Y to find the distribution of X + Y .
5. (a) (6 marks) Let X be a random variable following N(2.4). Let Y be a random variable following N(1.8). Assume X and Y are independent. Let W-min(x.Y). Find P(W 3) (b) (8 marks) The continuous random variables X and Y have the following joint probability density function: 4x 0, otherwise Find the joint probability density function of U and V where U-X+Y and -ky Also draw the support of the joint probability density function of Uand V (o (5...
9. Let X have an exponential distribution with A 1 (see Question 5), and let Y log(X). Find the probability density function of Y. Where is the density non-zero? Note that in this course, log refers to the log base e, or natural log, often symbolized In. The distribution of Y is called the (standard) Gumbel, or extreme value distribution.
Example: Let x, y ∈ Rn, where n ∈ N. The line segment joining x to y is the subset {(1 − t)x + ty : 0 ≤ t ≤ 1 } of R n . A subset A of Rn, where n ∈ N, is called convex if it contains the line segment joining any two of its points. It is easy to check that any convex set is path-connected. (a) Let f : X → Y be an...
9 Let X and Y have the joint probability density function f(x, y) ={4x for 。< otherwise a) What is the marginal density function of Y, where nonzero? b)Are X and Y stochastically independent 9 Let X and Y have the joint probability density function f(x, y) ={4x for 。
Let X~UNIF(0,1), and Y=-lnX. Then what is the density function of Y where nonzero?