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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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

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.
90
-36
36
30
- 12 12
S =
- 36
18
S =
- 12
6.
36
0 108
12
O 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
9.
2
B.
D.
C.

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