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This suggests how we may obtain estimates of spatially explicit parameters from spatially implicit ones.
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Users may also obtain estimates of the probability of being in an epidemic phase for weeks of interest.
Following the main idea of Costarelli and Spigler [2], one may obtain another estimates by considering the mean-value form of the remainder in (2.2) f ( x ) =f ( zeta ) + ( x-zeta ) f^{prime } ( zeta ) + frac{1}{2} f"(xi) (x-zeta)^{2}, (2.6) where ξ is between x and ζ.
With appropriate attention to error-rate estimation, as described earlier, it may be possible to obtain estimates of allele frequencies somewhat lower than the error rate, provided the population sample size and coverage are adequately large.
From initial data, one may obtain accurate estimates for the true parameter PDF, e.g. by MCMC sampling, which can be approximated by unimodal normal PDFs, possibly multivariate.
Where national data are absent or not reliable, it may be necessary to obtain estimates from models and satellite imagery.
This modelling exercise shows how it may be necessary to obtain estimates of water resources from models where national data are absent or unreliable.
Details on priors and the specific methodology used to obtain estimates may be found in Morey (2010).
If researchers do not have data on the outcome of interest then it may sometimes be possible to obtain estimates of variability from similar published studies.
Specifically, we may obtain different estimated minimal hitting set sizes and/or different hitting sets with the same size.
Although we cannot be sure how accurate surrogate responses are of the perspectives of patients with severe traumatic brain injury, we may obtain an estimate by examining agreement between responses of patients with minor traumatic brain injury and those of one of their family members.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com