The multi-ion effects have previously to be neglected to simplify the absorption process description, which produces unknown deviations from the realistic absorption process.
We present a shape determination algorithm to solve for the unknown deviations from the ideal cavity using experimentally measured cavity data.
Therefore, cumulative changes in the relative levels of N-glycan sialylation and lactosamine repeats due to planned changes (i.e., product evolution) or unknown deviations (i.e., drift) in manufacturing processes of any of the erythropoietins could potentially result in a difference in the required dose for a given patient among various epoetin products [ 18].
Namely, the measurement sequence has a constant but value-unknown deviation compared to the for-matching sequences (also with other low-level noises).
ε[ t] is assumed to be a Gaussian noise with mean zero and unknown standard deviation σ.
R i is an additional unstructured random effect for the ith ward; we assume the R i 's arise from a common, normal 'population' distribution with mean zero and unknown standard deviation σ R : R i ∼ N (0, σ R 2 ), i = 1,..., K = 32.
In the following, we will base the statistical analysis strategy on the true (but unknown) population standard deviation of the paired differences.
We are interested in testing that the true (but unknown) population standard deviation of the paired differences is smaller than a benchmark below which agreement would be assessed to be acceptable from a clinical point of view.
The obtained algorithm in (3), (11), (16)–(18), represents the standard M robust RLS (RRLS), where the common approach is to estimate the unknown noise standard deviation, σ, by the MAD based scale factor in (9).
Since the scale factor, s, represents an estimate of the unknown noise standard deviation, σ, and the argument of non-linearity ψ in (8) is the normalised residual, the non-linear transformation ψ in (8) is defined by (4) with the unit variance, i.e. σ = 1.
