Q 6.1. Suppose Z = (Z1, Z2, Z3) is a standard multi-variate Gaussian random variable i.e., for i≤ 3, Zi~ N(0, 1) are i.i.d. random variables. Each of the random variables, (a)–(d), on the left is equal in distribution to exactly one random variables, (1)–(4), on the right. Pair up according to "equal in distribution" and explain briefly your reasoning. (a) (X¹₂) =(√²) X₁ X₂ Z₁ Z₂ = Z₁ (b) (e) (x₂) - (3/✓/² ¹/√²) (21) (3/√2 √2 X₁ (¹)(x)=(1) (2) (33) X₂ (1) (39)=(-1) (2) (22₁) = (1/² √²/₂) (²₂) (2) 1////2) Z₁ 2 2 √2 (3) (x₂) = (1 ² 0 Z₂ 1 Z3 (4) (Y) = (²¹) (²) 1
Q 6.1. Suppose Z = (Z1, Z2, Z3) is a standard multi-variate Gaussian random variable i.e., for i≤ 3, Zi~ N(0, 1) are i.i.d. random variables. Each of the random variables, (a)–(d), on the left is equal in distribution to exactly one random variables, (1)–(4), on the right. Pair up according to "equal in distribution" and explain briefly your reasoning. (a) (X¹₂) =(√²) X₁ X₂ Z₁ Z₂ = Z₁ (b) (e) (x₂) - (3/✓/² ¹/√²) (21) (3/√2 √2 X₁ (¹)(x)=(1) (2) (33) X₂ (1) (39)=(-1) (2) (22₁) = (1/² √²/₂) (²₂) (2) 1////2) Z₁ 2 2 √2 (3) (x₂) = (1 ² 0 Z₂ 1 Z3 (4) (Y) = (²¹) (²) 1
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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