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We also note, for clarity's sake, in the following analyses we abuse notation and use x jk for both the random variable and its realization.
(For ease of notational simplicity, in (8) we use the same symbol to denote both the random variable (in the second term) and its realization (in the third and fourth terms).
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We preserve the same names for various types of time consistency for both the random variables and the stochastic processes.
In this case, both x j and Y j are random variables, but for notational simplicity in this work l k, Y j and x j denote both the random variables and the values they may assume.
The probability distribution for a random variable describes how the probabilities are distributed over the values of the random variable.
The random variable.
The log of the random variable is normally distributed.
Define the random variable (5).
The expectation of the random variable is.
Let be the random variable (r.v).
Define the random variable as (6).
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CEO of Professional Science Editing for Scientists @ prosciediting.com