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We apply a one-step numerical scheme to equation (4.1) and represent the resulting stochastic difference equation as Y_{n+1}= R(h,lambda,mu,widehat{N}_{n})Y_{n}, (4.4) where (widehat{N}_{n}) are independent standard Gaussian random variables (widehat{N}_{n}=frac{Delta W_{n}}{sqrt{h}}sim N 0,1)).
We represent the resulting model with six parameters: au, the shape parameter for the Up distribution; bu, the scale parameter for the Up distribution; ad, the shape parameter for the Down distribution; bd, the scale parameter for the Down distribution, and ηu, ηd, the mixture coefficients that give the relation between the two distributions in the final mixture.
Curves represent the resulting fits to a LOESS model.
Finally, the two bottom panels represent the resulting output signal after normalization.
Vectors of probability parameters θ j represent the resulting amplification models, where each mixture component assigns a continuous probability value θji to each chromosome band.
Figure 8(a) and (c) represent the resulting v-field spatial distribution at final time and the absolute error with respect the desired profile, respectively.
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These represent the result of the count of an additional 136 precincts of the 635 precincts in Dade County.
500 does represent the results for many investors in the last 13 years.
Collect the data and then analyze and represent the results, maybe by making your own infographic.
The plots shown here represent the results from Sta. R02.
The ratios represent the results of three independent experiments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com