Convert the matrix of observations to mean-deviation form, and construct the sample covariance matrix.12 153 674 10 71533 3A.90-363630- 12 12S =- 3618S =- 126.360 10812O 3630- 315- 12- 3012 - 12- 318 - 12- 3S =12- 6S=- 15 - 12189.- 120 - 3612- 39.2B.D.C.

By using formulaes and matrix calculations you can solve the given problem as follows :

Convert the matrix of observations to mean-deviation form, and construct the sample covariance matrix. 12 15 3 6 7 4 10 7 15 3 3 3 A. В. 90 - 36 36 30 - 12 12 S = - 36 18 S = - 12 36 0 108 12 о 36 30 - 3 –15 - 12 - 30 12 - 12 - 3 18 - 12 - 3 S = 12 -6 S = - 15 - 12 18 9. - 12 0 - 36 - 12 - 3 2 D. C.

Convert the matrix of observations to mean-deviation form, and construct the sample covariance matrix. 12 15 3 6 7 4 10 7 15 3 3 3 A. В. 90 - 36 36 30 - 12 12 S = - 36 18 S = - 12 36 0 108 12 о 36 30 - 3 –15 - 12 - 30 12 - 12 - 3 18 - 12 - 3 S = 12 -6 S = - 15 - 12 18 9. - 12 0 - 36 - 12 - 3 2 D. C.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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