Probability theory and stochastic processes Proposition
Moment-generating function of a sum of independent random variables
Builds on Moment-generating functionExpectation of a product of independent random variablesIndependence of random variables
Statement
Let be independent real random variables, and let . Then for each , the moment-generating functions satisfy in .
Remarks
Proof: . The factors are nonnegative and independent, so the product rule for expectations applies. For i.i.d. , . Example: if are independent, then for . This is the moment-generating function of the gamma distribution .
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- Independence means the joint law is the product of the marginals statement
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- Expectation of a product of independent random variables statement
- Moment-generating function of a sum of independent random variables statement
Where this leads
1 page builds on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Moment_generating_function, Linear combination of independent random variables
About this page
| Tag | 0WRZ170YEH |
|---|---|
| URI | m2://0WRZ170YEH |
| Kind | statement, proposition |
| Writing | W0 stub |
| MSC | 60E10 |
| Status | This copy of the site has no build data. Run m2 status 0WRZ170YEH. |
| Uses | Moment-generating function, Expectation of a product of independent random variables, Independence of random variables |
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