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This analogy has several facets: In both cases the probability distributions are naturally associated with their respective dynamical systems.
In both cases, the probability of a down week is higher than usual, and the average return during the first week of a five-week expiration cycle is less than usual.
The problem with this model is that it cannot distinguish between getting one positive outcome out of 2 interactions and getting 100 positive outcomes out of 200 interactions because in both cases the probability is equal to 0.5 [12].
In both cases, the probability distribution of errors was a Poisson distribution.
In both cases the probability that the two proteins corresponded to accession BAA88512 was 100%.
Nevertheless, in both cases, the probability of reentry goes to zero shortly after ϕ ~ 0.5; see Figure 9.
Similar(52)
In both cases the probabilities of false positive, α, and of false negative, β, were fixed at 0.05.
Comparing the results of interactive and automated masking (Figures 7(a) and 7(b)) one can see that while in both cases the detection probability was relatively high almost over the whole range of PPRs (except the first estimates at dB), false alarm rate was significantly lower in the case of automated masking (Figure 7(b)).
In both cases the exposure probability has a close to linear impact on the bias parameter.
In both cases, the highest probabilities are observed for day 0 (i.e., over 24 h after the key time) but are significantly higher for ICMEs.
Since the joint probability is the same in both cases, equaling the probability that John did it, they yield the same degree of coherence as measured by C0.
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Justyna Jupowicz-Kozak
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