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The ALS-based MA and MD mean estimates differed from the NFI AGB estimates by about 2% and 8%, respectively, for the entire County.
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Mean DLD estimates differed from zero in all regions (all Ps<0.05) and were less than zero, indicating catabolism, in all regions of Iowa, Minnesota, and North Dakota (Fig. 2).
The results are similar for both analyses with no evidence that the mean cost estimates differ across the time periods.
Note that although the results from the model corrected only for heterogeneity broadly suggest similar a picture, in some cases the ranking and mean efficiency estimates differ significantly.> Efficiency analysis provides several benefits to health providers, planners and policy makers alike.
Their study compared the field estimates from the community forest user groups and professional teams and showed that the mean of AGB field estimates differed by no more than 7%% and mostly by 5%%.
For example, consider two groups with different proportions of missing values on background variables: The uncertainty in the group mean estimates should differ between the groups because we have more observed data in one group than in the other.
Notice that the mean sarcomere length estimates differ from each other up to 2.5% in both directions.
For the bacterial microbiome, biodiversity estimates differed between the repetitions.
If estimates differed, ultrasound measures replaced the LMP estimates.
Although the mean Jenkins and Chojnacky estimates match, the plot-level estimates differ appreciably, with Chojnacky estimating greater biomass density values in some high biomass plots (Fig. 2b).
A model with constant lifespans results in a smaller effective infectious period, although for a mean infectious period of less than 15 years the estimates differ by less than 5%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com