Q3. Find the quantile function F-1 for F(r)-1-1-α, x > 1.
Additional Problem 4. We say that mp is the pth quantile of the distribution function F if F(mp) = p, 0<p<1. Find mp for the distribution having the following density functions: (a) f(x) = 5e*r, x > 0. (b) f(x) = ir', 0 < x < 2. -1<r1
Let X be a continuous random variable with cumulative distribution function F(x) = 1 − X−α x ≥ 1 where α > 0. Find the mean, variance and the rth moment of X. Question 1: Let X be a continuous random variable with cumulative distribution function where a >0. Find the mean, variance and the rth moment of X
1.For x ≥ 0, let f(x) = 2xe−x^2 Show that f is a density function. 2. Find the cumulative distribution for the density in the preceding exercise. 3. Find the pth quantile of this distribution.
(a) Find a power series representation for the function. 4 f(x) = 13 +α 1 13η 2+1 4Σ(-1)+1 Σ ΤΩ=0 2+1 Σ(-1)* (1) Ta=0 4 (-1)". 13η O Ta=0 1 4Σ(-1)". 13n+1 2=0 1 13 (-1)* 42+1,2 Σ Ta=0 (b) Determine the interval of convergence. ?ν ?ν
Compute the quantile function of the exponential distribution with parameter A. Find its median (the 50th percentile) Compute the quantile function of the exponential distribution with parameter A. Find its median (the 50th percentile)
i need F and C please Definitions (different from text) • The p quantile (or (100p) percentile) of the distribution of X is the smallest x such that PIX S x) 2 p. Use zp(x) to denote the p quantile. 2.50(X) is the median of the distribution of X. 15. Find the quantile of order po < p < 1) for the following distributions. (a) f(x) = 1/x2, x 2 1, and zero elsewhere. (b) f(x) = 2x exp(-x2), x...
Problem: 15 Consider the function f(x)-x" on 0sxs 1, where α>0. Suppose we want to approximate f best in Lp norm by a constant c, 0< c<1, that is minimize the Lp error 1/p x -cl dx) as a function of c. Find the optimal for p 2 and p 1 and determine Ep(Cp) for each of these p- values.
Concept Check: Conditional Quantile 1 point possible (graded) Let (X, Y) be a pair of RVs with joint density f (x, y) = x + y, over the sample space 12 = [0, 1]?. For a given x, what is the value qa (x) such that P[Y < 9a (x) |X = x] = 1 – a? That is, what is the conditional (1 – a)-quantile function (of x) of Y|X = x? The Shapes of Joint and Conditional Distributions...
3. A random variable X has probability density function f(x) (a-1)2-α for x > 1. (a) For independent observations In show that the log-likelihood is given by, (b) Hence derive an expression for the maximum likelihood estimate for α. (c) Suppose we observe data such that n 6 and Σ61 log(xi) 12. Show that the associated maximum likelihood estimate for α is given by α = 1.5.