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c Note that we refer to the Lindeberg's CLT, whose conditions are easily verified in our case, because the random variable are independent but are not i.
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Because the random variables in the vectors (tilde {mathbf {v}}) and v have the same statistical properties.
For general T, let denote the set of all possible values of the random variables such that Because the random variables are independent, the joint probability function of is and There are elements such that, for.
Because the sellers are not interrelated, the random variable of each seller is independent of each other.
The probability distribution for a random variable describes how the probabilities are distributed over the values of the random variable.
The log of the random variable is normally distributed.
The random variable.
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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