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Various parametric and nonparametric statistical analyses were performed on the multinucleate cell data and only one parametric test, which utilised the density of monolayers as a co-variate, showed a statistically significant difference at the 5% level between the breast cancer and the normal subject groups.
Within this methodology three particular methods, two non-parametric and one parametric, are formulated.
In our model, this anisotropy is described by a one parametric distribution of the direction of the fibers.
We also refer the reader to [31 33] for the theory of random attractors for autonomous random dynamical systems with one parametric space.
The one parametric generalization of the Kullback-Leibler [10] relative information studied in a different way by Cressie and Read [11].
However, only one parametric excitation (induced by one electromagnetic device) was considered in current research, and the effects of the design parameters of the device upon the instability were studied inadequately.
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As a result, economists were forced to treat non-parametric influences as if they were complications on parametric ones.
Different models are considered to represent the randomness of the inflows in the problem: The independent model, where the inflows are considered as independent random variables without time correlation; the lag-one parametric autoregressive model and lag-two parametric autoregressive model.
In this paper, we propose a new Newton-type method for solving the nonlinear complementarity problem (NCP) based on a class of one-parametric NCP-functions, where an approximate Newton direction can be obtained by solving a modified Newton equation in each iteration.
One way of studying non-smooth systems is a regularization process consisting on approximation of the discontinuous vector field by a one-parametric family of smooth vector fields, which is called a regularization of the discontinuous one.
Now, let us suppose that we have a one-parametric Lie group of infinitesimal transformations that acts on independent and dependent variables ( t, x, u, v ) ∈ M = J t, x, u, v 0 ≅ R 3 Open image in new window as follows: ( t ~, x ~, ũ, v ~ ) = ( t, x, u, v ) + s ( ξ 1, ξ 2, ϕ 1, ϕ 2 ) ( t, x, u, v ) + O ( s 2 ), Open image in new window (5).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com