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Another difficulty is getting a large enough distribution to not only justify production costs but, more importantly, to make a real impact on children's education.
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According to the theory of probability statistics, when the number of samples is large enough, empirical distribution of frequency function which represents event occurrence, is almost the same as the overall distribution density.
If the number of algorithm runs is large enough, the distribution of T ¯ p and T ¯ 1 will be nearly normally distributed.
The great 2011 Tohoku event is one of the few well-recorded earthquakes with a large enough faulting distribution to explore spatial variations in frequency dependence of seismic radiation.
Obtained data were analysed using non-parametric statistical tools since the sample size was neither sufficiently large enough nor the distribution normal.
It has raised $25 million including this round, which is surprisingly little for a hardware startup that has already managed to ship one device at scales large enough for international distribution in a major chain.
Moreover, parametric statistical tests are frequently used, when they might be inappropriate if the sample size is not large enough or the distribution is too skewed.
When sampling times are large enough and the posterior distribution tends to be stable, the stable distribution of samples (exactly the equilibrium distribution of Markov chain) could be considered as the distribution of the total (Beaumont, 2010).
This is due to the difficulty of obtaining reference material that has a homogeneous distribution on a filter surface that is large enough for characterization and distribution.
The parametric method is based on assumptions that include 1) the subjects are randomly selected from the population; 2) the size of subjects is large enough to represent the distribution of a population; and 3) the variables have a bivariate normal distribution.
In these cases it is easy and natural to compute the eigenvalues of large n × n submatrices of the infinite operator matrix, and to hope that if n is large enough then the resulting distribution of eigenvalues will give a good approximation to the spectrum of A. Numerical analysts call this the Galerkin method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com