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Adherence models were adjusted for the same set of variables as the models for glycemic control with the addition of a categorical variable modeling the HbA1c testing frequency of the patient's primary care provider.
where is the random variable modeling the Gaussian noise with mean and a standard deviation of.
Uppercase letters will be used for random variables, that is, is a random variable modeling the th sample of the host signal, and is the random process related to the whole sequence.
The distance is a constant and is a random variable, is the path loss exponent, is the random component due to shadowing, and is a random variable modeling the channel envelop.
with ε(r) the stationary random variable modeling the signal error and ({{f}_{x_{1}} left (rright)}) the PDF of the amplitude of signal x 1 as defined in Eq. (3).
where h j,n,n denotes the channel coefficient between user j and BS s over subcarrier n, (w_{k,n} in mathcal {N}left (0,sigma _{w_{k,n}}^{2}right)) is the zero-mean complex-valued Gaussian random variable modeling the ambient noise, and I_{k,n}triangleq sumlimits_{j = 1atop j ne k}^{K} sqrt{p_{j,n}} h_{j,phi k),n} x_{j,n} (3).
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The last components remaining from (7) are the random variables modeling the channel envelop and their ratios.
A set of variables modeling the interaction between log-transformed TCV values and each clinical factor was created.
The lagged values of the dependent variable model the serial correlation in the dependent variable.
As usual with latent variable models, the likelihood is intractable as the number of potential states of the hidden variables grows exponentially with the number of variables.
We then consider traveling waves in a more realistic two-variable model (the Li Rinzel model).
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