(X, Y, Z, W) have multinomial distribution: f(x, y, z, w) = n! x!y!z!w! 01020 (1-01-02-03)", x = 0, 1, 2, ..., n, y = 0, 1, 2,...,n, z = 0, 1, 2,...,n, w = 0, 1, 2,...,n, x+y+z+w = n. Then E(YX = x) is (A) a + β X (B) a + ẞx (C) a + bx+yz (D) a + 3x + y z + C w
(X, Y, Z, W) have multinomial distribution: f(x, y, z, w) = n! x!y!z!w! 01020 (1-01-02-03)", x = 0, 1, 2, ..., n, y = 0, 1, 2,...,n, z = 0, 1, 2,...,n, w = 0, 1, 2,...,n, x+y+z+w = n. Then E(YX = x) is (A) a + β X (B) a + ẞx (C) a + bx+yz (D) a + 3x + y z + C w
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:(X, Y, Z, W) have multinomial distribution:
f(x, y, z, w) =
n!
x!y!z!w! 01020 (1-01-02-03)",
x = 0, 1, 2, ..., n, y = 0, 1, 2,...,n,
z = 0, 1, 2,...,n, w = 0, 1, 2,...,n,
x+y+z+w = n.
Then E(YX = x) is
(A) a +
β
X
(B) a + ẞx
(C) a + bx+yz
(D) a + 3x + y z + C w
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