This column contains data x1, . . . , xn, which is assumed to be a sample from a normal distribution N(µ, σ 2 ). For this sample, find the maximum likelihood estimates µˆ and σˆ. X-.136.2461.946-.7861.7831.234-.02-.391-.068-.103.7181.185-.577-.2921.4141.55.931.3971.4691.842-.3512.271-.6661.006.4991.396.933-.1771.656.762.7091.161.702.845-.313.184.47.4371.0031.451.836.867.163.867.541-.564-.4741.464-1.185-.37

Answered: Image /qna-images/answer/d2cb22c5-11d1-4539-9bc2-85cad7df24f8.jpg

Answered: This column contains data x1, . . . ,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

This column contains data x1, . . . , xn, which is assumed to be a sample from a normal distribution N(µ, σ 2 ). For this sample, find the maximum likelihood estimates µˆ and σˆ.

X
-.136
.246
1.946
-.786
1.783
1.234
-.02
-.391
-.068
-.103
.718
1.185
-.577
-.292
1.414
1.55
.93
1.397
1.469
1.842
-.351
2.271
-.666
1.006
.499
1.396
.933
-.177
1.656
.762
.709
1.161
.702
.845
-.31
3.184
.47
.437
1.003
1.45
1.836
.867
.163
.867
.541
-.564
-.474
1.464
-1.185
-.37

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Expert Solution