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real analysis - Continuity and differentiability of the cumulant-generating function - Mathematics Stack Exchange
![SOLVED: Let X Gamma(n, A). Consider the random vector Y (I, log( T)Y. Define the moment generating function of Y as follows: x (t1,t2) = E(et-X+tz log(X)) provided that the above expectation SOLVED: Let X Gamma(n, A). Consider the random vector Y (I, log( T)Y. Define the moment generating function of Y as follows: x (t1,t2) = E(et-X+tz log(X)) provided that the above expectation](https://cdn.numerade.com/ask_images/d2563faf0b144ab3be4284c1f016dc52.jpg)
SOLVED: Let X Gamma(n, A). Consider the random vector Y (I, log( T)Y. Define the moment generating function of Y as follows: x (t1,t2) = E(et-X+tz log(X)) provided that the above expectation
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probability theory - Properties of Legendre/Cramer's transformation of the moment generating function - Mathematics Stack Exchange
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Sketch of the moment-generating function in case φ λ (1; E ) > − log K... | Download Scientific Diagram
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Some standard univariate probability distributions Characteristic function, moment generating function, cumulant generating functions Discrete distribution. - ppt download
![SOLVED: Let mx(t) the moment generating function for random variable X and define o(t) log = mx (t) (here log(z) is the natural logarithm of x). What are Ml,' (0) , m ( SOLVED: Let mx(t) the moment generating function for random variable X and define o(t) log = mx (t) (here log(z) is the natural logarithm of x). What are Ml,' (0) , m (](https://cdn.numerade.com/ask_images/f96211c3895546dba6fcd21f115b82f6.jpg)
SOLVED: Let mx(t) the moment generating function for random variable X and define o(t) log = mx (t) (here log(z) is the natural logarithm of x). What are Ml,' (0) , m (
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![PDF] Accurate and fast approximations of moment-generating functions and their inversion for log-normal and similar distributions ∗ | Semantic Scholar PDF] Accurate and fast approximations of moment-generating functions and their inversion for log-normal and similar distributions ∗ | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/24f397e81077954b4a50e699ec7475026dfaf459/11-Table1-1.png)
PDF] Accurate and fast approximations of moment-generating functions and their inversion for log-normal and similar distributions ∗ | Semantic Scholar
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