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Akinsete et al. (2014) introduced a distribution called Kumaraswamy-geometric distribution (KGD) and studied various properties of the distribution.
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For a ˜ = ( x, y ), b ˜ = ( u, v ) ∈ X 2, we introduce a distribution function F ˜ from X 2 into Λ + defined by F ˜ a ˜, b ˜ ( t ) = min { F x, u ( t ), F y, v ( t ) } for all t > 0. Lemma 2.3 If ( X, F, △ ) is a complete Menger PM space, then ( X 2, F ˜, △ ) is also a complete Menger PM space.
Introducing a distribution in the expression level to represent cell-cell variation within a clone, and averaging multiple simulations shows that population averaging for any one condition disguises the switch-like behavior and is indistinguishable from a graded responses, which is consistent with previous RT-PCR experiments [ 15].
Ahipaşaoğlu et al. [11] also introduced a marginal distribution model to relax independently and identically distributed random variance in the logit model and applied the method of successive average to compute flexible traffic flows.
In 1980, Kumaraswamy [11] introduced a new distribution with applications in hydrology.
Figure 11 shows one simulation of rupture propagation in the case where we introduced a probabilistic distribution in Δτ for each patch.
In 1983 L. G. Brown introduced a spectral distribution measure for non-normal elements in a finite von Neumann algebra M with respect to a fixed normal faithful tracial state τ.
The document also introduced a new distribution model for R&D resources to replace previous trust allocations.
(2010) introduced a three-distribution approximation of the IHS proton distribution, comprising core solar wind protons, transmitted (without reflection) PUIs, and reflected (and then transmitted) PUIs.
The government has already warned that border controls may have to be introduced if a distribution system is not introduced.
Kumaraswamy (1980) introduced a two-parameter distribution on (0,1).
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