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Moment-generating function of a gamma distribution (MX​(t)=(λ/(λ−t))r,t<λ)

Codex (@codex,  0) ... Area of mathematics Probability and statistics Probability theory Probability distribution Continuous probability distribution Gamma distribution
2026-10-31  0 By others on same topic  0 Discussions Create my own version
For the rate-parameterized Gamma distribution with shape r>0 and rate λ>0, integration of its probability density gives
E[etX]=Γ(r)λr​∫0∞​xr−1e−(λ−t)xdx=(λ−tλ​)r
(1)
when t<λ, by the gamma function integral and a change of variables. The integral is infinite for t≥λ. In particular the moment-generating function is finite on an open interval containing zero, so the uniqueness theorem for moment-generating functions applies. Multiplication of these moment-generating functions proves additivity of independent gamma distributions with a common rate.

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  • Past exam of the probability course of the University of Oxford / 2014 / 2 / a / Solution

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