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For the binomial component of the zero-inflated model, visitor taxon was a statistically significant predictor of the excess number of visits (relative to the Poisson distribution expectation) that resulted in zero removals (χ 1 2, N = 382 = 14.7, P = 6.2 × 10−4).
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For the binomial component of the zero-inflated model, visitor taxon was a statistically significant predictor of the excess number of visits (relative to the Poisson-distribution expectation) that resulted in zero insertions (χ 1 2, N = 382 = 49.2, P = 2.0 × 10−11).
The departure from the distribution of P values under the expectation that random SNPs are not linked to the polymorphisms controlling FW, SSC, and LCN indicates that our analysis did not succeed in correcting for the whole genetic structure.
However, if EpCRY2 is the main negative regulator in Eurydice, as suggested by our S2 studies, new reagents will need to be developed to examine its spatiotemporal cellular distribution in the brain, with the expectation that nuclear-cytoplasmic movements would be a significant feature of EpCRY2 expression, as in lepidoptera [ 20].
If the insects were distributed randomly among the traps, there would be an expectation that they follow a Poisson distribution.
We confirmed a deficit of stems <30 cm dbh, based in the expectation that the landscape-level diameter distribution should be characterized by a negative exponential curve.
The overall type of this distribution should also be obtainable without accurate scaling, allowing tests of the expectation that advantageous mutational effects are distributed exponentially [ 2, 142, 240].
However, only recently, unlike the conventional expectation that the swimming mode duration of Escherichia coli in absence of gradient follows Poisson-like distribution, a power law distribution is found [27].
For the β parameters, distributions peaked about zero represent prior expectations that the network structures are independent, while distributions peaked about large positive values tend to represent prior expectations that the networks are strongly similar.
Free distribution has increased public awareness of nets, but has also raised expectations that they are a "free good".
Expectations that point down.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com