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Similarly, for any fixed values of the migration rates the quality of the approximations worsens as the number of polynomials used decreases.
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For any fixed value μ = μ0, Π W; μ0) is a strictly concave function with respect to W, ∀W > 0.
For any fixed value μ = μ0, Π W; μ0) is a continuous function in W>0, whose first and second derivatives are continuous in( W in left( {1/mu_{0},(R - gamma )/c} right).
(vi) For any fixed value W = W0, such that 0 < W0 < (R − γ)/c, Π(μ; W0) is a convex (concave) function with respect to μ if C is concave (convex).
The expected profit function Π W, μ) has the following properties: (i) For any fixed value μ = μ0, Π W; μ0) is a continuous function in W>0, whose first and second derivatives are continuous in( W in left( {1/mu_{0},(R - gamma )/c} right).
For example, for fixed values of n and p, the left and right tails of the PCNB distribution are heavier when α increases.
For example, for fixed values of b and gK1 within the bursting region, small variations of other parameter, e.g., leak conductance, gL, lead to a similar bifurcation transitions shown in Figure 6b.
In Section 4, we evaluate the performance of different fixed values for the link quality threshold.
First, we look at the distribution of FIV prevalence in males for arbitrarily fixed values of the parameters: βM = 0.025, M = 50 and εM = 0.01 (Fig. 3a, solid line).
To perform the analysis we calculate Δ for different fixed values of the uptake rates.
Fig. 10 Average estimates for different sample sizes of the GW-N distribution for fixed values α = 2, μ = 0, σ = 1 and: a c β = 1.5; d f β = 0.5.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com