| 1. | Nevertheless, it has a cumulant-generating function, =.
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| 2. | The resulting series is the generating function for the Legendre polynomials:
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| 3. | One is based on analytical calculations by using generating function techniques.
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| 4. | Two random variables having equal moment generating functions have the same distribution.
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| 5. | The sum of this infinite series is the generating function.
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| 6. | The ordinary generating function can be generalized to arrays with multiple indices.
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| 7. | This representation is unique : different multisets have different cumulant generating functions.
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| 8. | The process can be analyzed using the method of probability generating function.
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| 9. | This can be seen by comparing the generating function of the Hermite polynomials
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| 10. | We say that the discrete random variable Y satisfying probability generating function characterization
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