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Methods of approximating the sum probability distribution of log-normal RVs are discussed and adopted in the SINR derivation.
The most commonly used methods of approximating the fixed points of the Zamfirescu operators are the Picard, Mann [10], Ishikawa [8], Noor [11], and multistep [15] iterative schemes.
Some stable methods of approximating solution for each equation in (1.1) with m-accretive operator are investigated in [12, 13], and [14] having the weakly sequentially continuous duality mapping j.
In particular, it is shown that the proposed method provides a superior match for the combined distribution in the relevant time range as compared to standard methods of approximating a distribution (e.g., matching moments or using the maximum likelihood estimate).
However there are a couple of methods of approximating the marginal likelihood of a model (and therefore the BF between two models) by processing the output of a BEAST analysis.
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The differential approximation is a method of approximating derivatives with algebraic operation of discrete values.
PROC GLIMMIX DATA = SG_DSR METHOD = LAPLACE;/*Specifies using the Laplace method of approximating the log likelihood*/.
Our method of approximating a solution of (2.1) is similar to that of [4].
Using the method of approximating time, we get the same conclusion of the limit cycle theory.
Then, a method of approximating the obtained noise PSD is presented.
We present a new method of approximating the intersection curves of two parametric surfaces.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com