Probability theory and stochastic processes Definition
Moment-generating function
Builds on Expected valueMoment
Definition
Let be a real random variable. The moment-generating function of is the function with values in .
Remarks
Always . The set of with is an interval that contains . If is finite on an open interval around , then all moments of are finite and determines the law of . Some random variables have for all . An example is a Cauchy random variable. For , for , and for .
Reading path
To understand this page from the ground up, read these 51 pages in order. The foundations come first.
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Real numbers object
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Ordered pair definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Existential quantifier definition
- Universal quantifier definition
- Cartesian product definition
- Subset definition
- The rationals form an ordered field statement
- Uniqueness quantifier definition
- Binary relation definition
- Universal set definition
- Order on the reals definition
- Power set definition
- Complement definition
- Function definition
- Interval definition
- Injective function definition
- Preimage of a set definition
- Sigma-algebra definition
- Countable set definition
- Event definition
- Borel sigma-algebra definition
- Probability axioms concept
- Probability measure definition
- Probability distribution definition
- Probability space definition
- Random variable definition
- Cumulative distribution function definition
- Discrete random variable definition
- Law of a random variable definition
- Random variable with a density definition
- Probability mass function definition
- Expected value definition
- Probability density function definition
- Law of the unconscious statistician statement
- Moment definition
- Moment-generating function definition
Where this leads
11 pages build on this one.
- Chernoff bound
- Moment-generating function of the normal distribution
- Characteristic function of the normal distribution
- Sum of independent normal random variables
- Cumulant generating function
- Moments are derivatives of the moment-generating function at zero
- Hoeffding's inequality
- Moment-generating function of a sum of independent random variables
- McDiarmid's inequality
- Azuma's inequality
- Bernstein inequalities
Further reading
About this page
| Tag | 0NNRNGKMFM |
|---|---|
| URI | m2://0NNRNGKMFM |
| Kind | definition |
| Writing | W1 stated |
| MSC | 60E10 |
| Defines | Moment-generating function |
| Uses | Expected value, Moment |
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What this page needs for W2
- edge instance_of in: one example (0 of 1)
- edge not_instance_of in: one non-example that fails one clause (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.