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The distribution approximation is solved by a recursive process.
The two latter are the outputs of the distribution approximation provided by the SMC filter.
Data that did not satisfy normal distribution approximation were analyzed with nonparametric Mann–Whitney test.
The distribution approximation filter (DAF) is used to implement the non-linear data fusion algorithm.
This is according to a pairs bootstrap distribution approximation of the posterior, using a Pólya urn scheme.
The observed results suggest that the proposed bootstrap provides a good statistic distribution approximation for medium sample size.
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Traditionally, modelling schemes are case specific and typically attempt to preserve few statistical moments providing inadequate and potentially risky distribution approximations.
P values and confidence intervals were determined using binomial distribution approximations.
95% confidence intervals (CIs) were used to visualize the variability of estimates, and were based on normal distribution approximations.
Comparisons between models using Poisson and normal distribution approximations did not alter the inference of the results even where counts were smaller, such as for the import data.
Calculating the frequency of a given word in a genome is a known problem that often requires the use of distribution approximations (Robin and Schbath, 2001).
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