Let Y 1 , Y 2 , . . . , Y n be a random sample

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Let Y1, Y2, . . . , Yn be a random sample from a gamma pdf with parameters r and θ, where the prior distribution assigned to θ is the gamma pdf with parameters s and μ. Let W = Y1 + Y2 +・ ・ ・+ Yn. Find the posterior pdf for θ.

Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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