Exact(14)
Hence, the FBMC symbols have a zero mean and finite variance.
random errors with zero mean and finite variance σ 2 > 0, and − ∞ < a < ∞ is a one-dimensional unknown parameter.
Let ({e_{n},ngeq1}) be a sequence of independent identically distributed ((i.i.d).) random variables with zero mean and finite variance.
The white noise refers to uncorrelated observations with zero mean and finite constant variance which indicates a weakly stationary condition (Montgomery et al. 2008 , 1990.
We account for unobserved heterogeneity by incorporating a Gamma distributed random variable with unit mean and finite variance, as suggested by Meyer (1990).
Theorem 2.5 Let { X j : j ≥ 1 } be a LNQD random variable sequence with zero mean and finite second moment, sup j ≥ 1 E ( X j 2 ) < ∞.
Similar(46)
random variables with zero-mean, unit variance and finite E {|U i j |4}.
Let ({xi_{k}, kgeq1}) be WUOD r.v.s with dominating coefficients (g_{U}(n)) ((nge1)), with distributions ({V_{k}, kgeq1}) and finite mean
Let be a sequence of -mixing random variables with zero means and finite second moments.
Let ({X_{i},igeq1}) be a sequence of φ-mixing random variables with zero means and finite second moments.
Let ({xi_{i},iin{mathbb{Z}}}) be a stationary LNQD sequence of random variables with zero means and finite variance.
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