The analytical difficulties concern the problem of estimating the probabilities of events which are more extreme than those simulated.
In contrast, the spatial autocorrelation values for the same statistics observed in the data consistently presented more extreme values than the simulated ones.
The lowest rejection rate was observed when matrices obtained from nucleotide sequences simulated under more extreme parameters of evolution (i.e., s = 0.02; α = 0.06) were tested.
Simulating a more extreme position might evoke a more intense primary sensory experience in the observer than a less extreme position, and thus produce a greater aesthetic effect.
with rotation length of 40-80 years was simulated rather than a more extreme conversion to short-rotation Eucalyptus or Populus spp. forest.
The empirical p-value was determined as the proportion of simulated data sets with statistics more extreme than the observed value.
The proportion of simulated H or D parameters with more extreme values than those observed corresponds to the hypothesis test p-value.
We then asked how often the simulated data showed values equal or more extreme than those observed in our empirical datasets.
As stated above, we used a uniform random number
Moreover, the simulated variation in the cell-cycle profile due to the G2/M delay is also more extreme than that observed in vivo.
