Let X be a 3 x 1 random vector eigenvalues and eigenvectors are given below. This is Σ 5 -2 0 -2 6 2 Eigenvalues/vectors (QR Factorization) Olonly 9.00000 6.00000 3.00000 0.333734 0.666467 -0.666665 -0.66687 -0.33293 -0.566667 -0.66627 0.667067 0.333335 1.95E-05 9.77E-06 -1.96E-10 0.001204 0.001204 3.82E-06 X₁ X2 X3 with variance-covariance matrix Σ, whose Which of the following statement(s) is/are true? 1. The variances of X2 and the second principal component are equal. II. X₁ and X3 are uncorrelated.
Let X be a 3 x 1 random vector eigenvalues and eigenvectors are given below. This is Σ 5 -2 0 -2 6 2 Eigenvalues/vectors (QR Factorization) Olonly 9.00000 6.00000 3.00000 0.333734 0.666467 -0.666665 -0.66687 -0.33293 -0.566667 -0.66627 0.667067 0.333335 1.95E-05 9.77E-06 -1.96E-10 0.001204 0.001204 3.82E-06 X₁ X2 X3 with variance-covariance matrix Σ, whose Which of the following statement(s) is/are true? 1. The variances of X2 and the second principal component are equal. II. X₁ and X3 are uncorrelated.
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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