Sentence examples for identically distribution from inspiring English sources

independent and identically distribution.

From having identically distribution, (2.7), (2.8) and (2.5) holds automatically.

Moreover, they proved that the sequence of arithmetic means of independent identically distribution (i.i.d).i.d

We will examine double sequence to double sequence transformation of independent identically distribution random variables with respect to four-dimensional summability matrix methods.

The elements of (textbf {H}_{w_{k}}) are circularly symmetric complex Gaussian random variables with zero mean and unit variance, and they have an independent and identically distribution.

Furthermore, we assume X to be a unit-mean random variable and follow independent and identically distribution (i.i.d) for different SUs with fx x) and Fx x) representing the probability density function (PDF) and the cumulative distribution function (CDF), respectively.

It is difficult to prove the lemma directly, but the proof could be done by some division and summarization methods, i.e., to prove that the sum distribution (sum _{t = 1}^{T} text {UE}_{t}) of independent identically distributed Poisson distribution of each time period UE t was a Poisson distribution.

This smoothed adjusted log-ratio demonstrated a distribution that highly resembled what would be expected for an independent and identically distributed normal distribution (Additional File 1 panel C), thus facilitating straight-forward statistical inference.

Which is, according to the basic property of expectation value and variance in statistics, expectation calculation of the independent identically distributed Poisson distribution is a linear operation, and the variance is independent.

h The fading of the nodes is identically distributed, the distribution itself does not depend on i. i sinc(x)= sin(π x)/π x. j This does not state that the individual analog transmit signals are pure white Gaussian noise, rather that the superposition of such signals in the discrete-time domain are uncorrelated.

If the disturbance in (1) is assumed to be independently and identically distributed (normal distribution) then a probit model can be specified for maximum likelihood estimation of the parameters βj1, the probability that a woman chooses to abort, Pi, is P i = Prob y i = 1 = Prob u i > − w i = F w i (4).