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The modified AMDF method is implemented in the frequency domain whose estimation equation is given as τ ^ AMDF = arg min τ | X 1 ( ω k ) - X 2 ( ω k ) e j ω k τ | | X 1 ( ω k ) + X 2 ( ω k ) e j ω k τ | + ε, (24).

However, if K > 1, the LP- N LMS aLP- N LMSis no longer stalgorithmhown is Figures 8, 9, ano 10, whose estimation performance is even worse than that in (N)longer

Notably, intake of phytanic acid, whose estimation is described in reference [ 28], was highly correlated with serum concentrations of both phytanic and pristanic acids (r = 0.45 and 0.38, respectively; P-values <0.0001).

Consequently, in order to estimate both z and θ, we propose to use an adaptive observer whose estimation state error does vanish asymptotically.

However, applying this formula directly in an IRT framework is not appropriate since the latent variable is an unobserved variable whose estimation requires a model which creates uncertainty.

Yet, in contrast to Sippl's approach, our metric [Single sTRucture Induced Evaluation (STRIKE)] relies on a purely empirical matrix, whose estimation does not involve any Boltzmann modeling.

Based on consensus strategies of categorizing as high-risk those with a greater than 20% risk of CVD over the next 10 years [ 19], the Framingham Risk Score (FRS) does not perform any better than the MS. About two thirds of first incidents of heart disease and stroke happen in individuals whose risk estimation remains below that threshold [ 18].

Acting in whose interest?

But just right in whose eyes?

Exactly in whose interest would that be?

But in whose interests?

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