Let X1,..., Xn be a random sample from a population with probability density function (pdf) f(x | 0) 0, 0 1, where 0 > 0 is unknown. Let 1 -да-1 еxp(-0) r(a) f(0) be the prior distribution for 0, where a > 0 is a known constant, r(:) is the gamma function defined as I(a) = S xa-le¬" dx for a > 0.
Let X1,..., Xn be a random sample from a population with probability density function (pdf) f(x | 0) 0, 0 1, where 0 > 0 is unknown. Let 1 -да-1 еxp(-0) r(a) f(0) be the prior distribution for 0, where a > 0 is a known constant, r(:) is the gamma function defined as I(a) = S xa-le¬" dx for a > 0.
A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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![Find the posterior
mean for 0. Hint: If Y ~ Gamma(a, B), then E(Y)= a/ß.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F07ef4816-ad15-45ce-8807-966dc9f6e7f3%2F42f5279a-7d36-4fd8-b2f7-6c5ea5bdfb8d%2F22musmw_processed.png&w=3840&q=75)
Transcribed Image Text:Find the posterior
mean for 0. Hint: If Y ~ Gamma(a, B), then E(Y)= a/ß.
![Let X1,..., Xn be a random sample from a population with probability density function (pdf)
f(x | 0) = { Ox°, 0<x< 1,
0,
x < 0 or x > 1,
where 0 > 0 is unknown. Let
1
-0о-1 еxp(-0)
Г(о)
f(0) =
be the prior distribution for 0, where a > 0 is a known constant, I'(-) is the gamma function
defined as r(a) = S xª-'e°
dx for a > 0.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F07ef4816-ad15-45ce-8807-966dc9f6e7f3%2F42f5279a-7d36-4fd8-b2f7-6c5ea5bdfb8d%2Fyg93h4o_processed.png&w=3840&q=75)
Transcribed Image Text:Let X1,..., Xn be a random sample from a population with probability density function (pdf)
f(x | 0) = { Ox°, 0<x< 1,
0,
x < 0 or x > 1,
where 0 > 0 is unknown. Let
1
-0о-1 еxp(-0)
Г(о)
f(0) =
be the prior distribution for 0, where a > 0 is a known constant, I'(-) is the gamma function
defined as r(a) = S xª-'e°
dx for a > 0.
Expert Solution
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Step 1
We have given that
Then we have to find the posterior distribution of theta:
Step by step
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