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Given the similarity of the estimates between the two instrumental variables, we conclude that our estimation approach does not suffer from a weak instrument problem.
Figure 8 shows that the difference in wind estimates between the two wavelengths (i.e., 283-nm estimated winds are faster than 365-nm estimated winds) is persistent.
Several common hypotheses for benefit transfer reliability were tested for the transfer of WTP estimates between the two communities, as well as between districts within Puntarenas.
In order to first analyze the temporal development of the cost estimates between the two treatment groups, an interaction term between treatment group and observation period was used.
Within the blur condition, there was no significant effect of age group (F 1,30) = 1.98 × 10−5, p = 0.996, η 2 = 6.59 × 10−7, BF 10 = 0.38), with similar slope estimates between the two age groups (1.755 versus 1.757 for younger and older participants, respectively).
Pairwise Φst estimates between the two B. azoricus populations were never significantly different from zero.
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Thus, we used ANOVA to compare population trend estimates between the three species pools.
The resulting difference in parameter estimates between the three approaches was marginal (<1 %).
Figure 2 shows the estimated EBD and the quantitative ranges of the estimates between the six participating countries.
We calculated pairwise relatedness estimates between the six Yakutian cryo-bank bulls with and without the locus INRA035.
We did not observe differences in hazard ratio estimates between the four modeling approaches that were considered.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com