Sentence examples for mean distribution v from inspiring English sources

In particular, if the Cesaro mean distribution v exists, (p ˜ − g 0 ) ⋅ v = 0.

In the limiting case δ = 1, Lemma 1 allows a geometric interpretation: the mean distribution v (if it exists) is orthogonal to p ˜ − g 0 (see Akin, 2013).

In particular, if the Cesaro mean distribution v exists, (p ˜ − g 0 ) ⋅ v = 0. Suppose player I applies a memory-one strategy p, and let the strategy of player II be arbitrary, but fixed.

In particular, if the Cesaro mean distribution v exists, (p ˜ − g 0 ) ⋅ v = 0. Proof Suppose δ < 1, and let q I (t ) denote the probability that player I cooperates in round t.

For a discount factor δ < 1, the expected payoffs of the repeated game can then be defined by the Abelian means (4) π I = (1 − δ ) ∑ t = 0 ∞ δ t π I (t ) = g I ⋅ v, and similarly π II = g II ⋅ v, where v = (v CC, v CD, v DC, v DD ) refers to the (Abelian) mean distribution (5) v = (1 − δ ) ∑ t = 0 ∞ δ t v (t ).

(i) In the case with discounting (δ < 1 ), let v denote the mean distribution of the repeated game.

Forest plots of study heterogeneity additionally found that the estimates of population mean clearance (CL) and volume of distribution (V) tended to be lower in the second compared with the first period of the crossover trials (Supplementary Figure S2), which indicates that patients who received i.v. ARS in the second period tended to have higher drug exposure.

Population mean parameter estimates were 1.41 L for volume of distribution (V) and 0.244 L/min for clearance.

[18F]-PBR111 vofume of distribution (V t) in volume of interests (VOIs) was quantified by means of kinetic modelling and a VOI/metabolite-corrected plasma activity ratio.

The population mean clearance (CL; liter/h) was determined as 0.0397 × (weight/1.5) × (PMA/32)²·⁴⁹ using a volume of distribution (V) (liter) of 1.07 × (weight/1.5).

An inverse chi-squared distribution (v = 4.234, S = 0.0429) was included in the model as the prior distribution of the mean and genetic variation of each SNP included in the model.