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This enables us to examine our hypotheses as well as other factors discussed in the literature.
A multi-hypothesis SI creation method using four hypotheses as developed in [8] is used.
The defining characteristic of Bayesian statistics is that it considers probability distributions over statistical hypotheses as well as over data.
Several hypotheses, as well as the types of additional evidence required, are discussed.
So it is important to prune hypotheses as early as possible.
24 We selected, a priori, two questions and two scales to test our hypotheses, as follows.
Experimental data were available to distinguish two hypotheses as early as 1917.
We will publish the results on our main hypotheses as well as several exploratory papers.
We tested these timing hypotheses as well as the assumption of co-cladogenesis (Table 2).
Here, we present results that falsify both hypotheses as clearly as possible without investing tens of millions of dollars.
This approach was severely hampered by relying on sometimes unfounded functional hypotheses as well as by applying wrong statistical assumptions.
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