Let X and Y be independent random variables with X ~ gamma(r, 1) and Y ~ gamma(s,

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Let X and Y be independent random variables with X ~ gamma(r, 1) and Y ~ gamma(s, 1). Show that Z1 = X + Y and Z2 = X/(X + Y) are independent, and find the distribution of each. (Z1 is gamma and Z2 is beta.)
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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Statistical Inference

ISBN: 978-0534243128

2nd edition

Authors: George Casella, Roger L. Berger

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