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) 4 Minimum g deviation from ( r_{j}^{Phi } ) span based on weighted average method ( left( {bar{P}} right) ) ( r_{f}^{L} = left{ begin{aligned} A, left{ {left| {A - bar{P}} right| < left| {B - bar{P}} right|} right}, hfill B, left{ {left| {B - bar{P}} right| < left| {A - bar{P}} right|} right} hfill end{aligned} right.
) 3 Minimum g deviation from ( r_{j}^{Phi } ) span based on time-weighted average method ( left[ {bar{P}left( t right)} right] ) ( r_{f}^{L} = left{ begin{aligned} A, left{ {left| {A - bar{P}left( t right)} right| < left| {B - bar{P}left( t right)} right|} right}, hfill B, left{ {left| {B - bar{P}left( t right)} right| < left| {A - bar{P}left( t right)} right|} right} hfill end{aligned} right.
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However, our Monte Carlo simulations in Section 4 show that, for realistic cases (Rician noise on S(g i ) and anisotropic tensors), the proposed GES yields the minimum signal deviation and the minimum rotational variance.
Since the point that has most probability is the point that has the minimum standard deviation (Wallace 2005), the most probable point has minimum geometrical distance from the origin in U-space to any point on g(U) = 0.
Q-Model(2) achieves the minimum average deviation.
max, maximum; min, minimum; SD, standard deviation.
I would suggest using a continuous measure of performance (e.g. the differences between true and estimated methylation levels) or to allow for a minimum deviation.
Abbreviations: Max maximum, Med median, Min minimum, SD standard deviation.
Summary statistics (maximum, minimum, mean, standard deviation) were used for this analysis.
Then a minimum refinement of G is a minimum refinement of G ′.
a Mean ± standard deviation (g).
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