a generating function is a representation of an infinite sequence of numbers as the coefficients of a formal power series. Generating functions are...
87 KB (14,363 words) - 14:04, 4 October 2024
In probability theory and statistics, the moment-generating function of a real-valued random variable is an alternative specification of its probability...
18 KB (2,791 words) - 05:25, 21 October 2024
probability generating function of a discrete random variable is a power series representation (the generating function) of the probability mass function of the...
10 KB (1,763 words) - 21:20, 21 September 2024
Cumulant (redirect from Cumulant generating function)
are defined using the cumulant-generating function K(t), which is the natural logarithm of the moment-generating function: K ( t ) = log E [ e t X ]...
50 KB (8,949 words) - 22:12, 22 October 2024
specifically in Hamiltonian mechanics, a generating function is, loosely, a function whose partial derivatives generate the differential equations that determine...
4 KB (361 words) - 09:08, 12 July 2023
of a sequence's generating function provides a method of converting the generating function for one sequence into a generating function enumerating another...
62 KB (11,140 words) - 18:07, 13 October 2024
canonical. The various generating functions and its properties tabulated below is discussed in detail: The type 1 generating function G1 depends only on the...
60 KB (10,421 words) - 22:25, 13 September 2024
an exponential function of the square root of its argument. The multiplicative inverse of its generating function is the Euler function; by Euler's pentagonal...
27 KB (4,364 words) - 22:48, 7 August 2024
moment-generating function, and call the logarithm of the characteristic function the second cumulant generating function. Characteristic functions can be...
38 KB (5,215 words) - 19:25, 31 July 2024
Continuous uniform distribution (redirect from Uniform density function)
would be 1 15 . {\displaystyle {\tfrac {1}{15}}.} The moment-generating function of the continuous uniform distribution is: M X = E ( e t X ) = ∫...
27 KB (4,219 words) - 07:31, 30 October 2024