Problem 15. Let X denote the vibratory stress of a turbine blade under specified conditions. Suppose the probability density function of X is χ e 20 f(x; 0) = ē X ≥ 0 otherwise where > 0. A random sample of ten observations yields x1 = 16.88, x2 = 10.23, x3 = 4.59, x4 = 6.66, x5 = 13.68, x6 = 14.23, x7 = 19.87, x8 = 9.40, x9= 6.51, x10 = 10.95. a. Use the method of moments to obtain an estimate of 0 from a random sample of size n, say, X1, X2, . Xn and compute the value of the estimate for the given data x2 ez dx = (you can use = 原 b. Obtain the maximum likelihood estimate of 0 from a random sample of size n, say, X1, X2, ✗n and compute the value of the estimate for the given data. ...

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
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Problem 15. Let X denote the vibratory stress of a turbine blade under specified
conditions. Suppose the probability density function of X is
χ
e 20
f(x; 0) = ē
X ≥ 0
otherwise
where > 0. A random sample of ten observations yields x1 = 16.88, x2 = 10.23, x3 =
4.59, x4 = 6.66, x5 = 13.68, x6 = 14.23, x7 = 19.87, x8 = 9.40, x9= 6.51, x10 = 10.95.
a. Use the method of moments to obtain an estimate of 0 from a random sample of
size n, say, X1, X2, . Xn and compute the value of the estimate for the given data
x2
ez dx =
(you can use
=
原
b. Obtain the maximum likelihood estimate of 0 from a random sample of size n,
say, X1, X2, ✗n and compute the value of the estimate for the given data.
...
Transcribed Image Text:Problem 15. Let X denote the vibratory stress of a turbine blade under specified conditions. Suppose the probability density function of X is χ e 20 f(x; 0) = ē X ≥ 0 otherwise where > 0. A random sample of ten observations yields x1 = 16.88, x2 = 10.23, x3 = 4.59, x4 = 6.66, x5 = 13.68, x6 = 14.23, x7 = 19.87, x8 = 9.40, x9= 6.51, x10 = 10.95. a. Use the method of moments to obtain an estimate of 0 from a random sample of size n, say, X1, X2, . Xn and compute the value of the estimate for the given data x2 ez dx = (you can use = 原 b. Obtain the maximum likelihood estimate of 0 from a random sample of size n, say, X1, X2, ✗n and compute the value of the estimate for the given data. ...
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