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The rule gives license to an absolute conclusion that a given hypothesis is true on the basis of a comparative premise, namely, that that particular hypothesis is the best explanation of the evidence relative to the other hypotheses available (see Kuipers 2000, 171).
We discuss the strengths and weaknesses of that particular hypothesis at length below.
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There will be several hypotheses that are explanations for phenomena p1, p2, p3 …, so the fact that a particular hypothesis explains the phenomena is not a decisive criterion for developing that hypothesis (Harman 1965; see also Blackwell 1969).
A MP tree that represented a particular hypothesis was estimated using constrained tree searches in PAUP*.
However, for some in the research establishment, evidence consists only of the data that supports their particular hypothesis, or serves their purposes.
The probability that a particular hypothesis is true is interpreted as a degree of belief, or credence, of the scientist.
In summary, our studies clearly demonstrate that antigen depot does not play an important role in alum adjuvant activity, demonstrating that this particular hypothesis, untested for over 80 yr, does not explain how these clinically important vaccine adjuvants function.
Euchelicerata was recovered under all analytical approaches and datasets, with a high support.> -wrap-foot> P-values below P < 0.05 (bold) indicate that a particular hypothesis can be statistically rejected.
Thus, after learning a particular hypothesis that is part of a certain structure (e.g. the right-shift hypothesis of the shift structure) the probability of that structure is increased.
In the case of complex data such as the epidemiologic studies on TCDD exposure and cancer risk, it is important to consider all the evidence, and not just selected components that might support one particular hypothesis.
Furthermore, given that the data regarding HES varies with variables such as molecular weight in ways that is not consistent with any particular hypothesis, this suggests that other confounding factors may exist that are not being accounted for.
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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