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Performing a meta-analysis of the same sample of effect estimates allows us to go beyond the descriptive analysis in two ways.
The uncertainty in these two estimates allows us to estimate bounds on the rate of gene conversion.
Similar(58)
Our smoothing estimate allows us to use Sobolev inequalities and treat nonradial perturbations.
These bootstrap estimates allowed us to assess the potential value of many models using only the training data.
The parameters' estimates allow us to derive other interesting results.
The following a priori estimates allow us to take (tilde {T}_{m}=T) for all m.
These estimates allow us to show higher order Schrödinger operator generates a fractionally integrated group in Lp(Rn).
These estimates allow us to improve several known results in this area, including the almost everywhere (a.e).
These estimates allow us to compare input- and output-based policies based on their relative cost-effectiveness.
Such estimates allow us to extend the Helton Howe trace formula for arbitrary functions in the Besov class (B_{infty,1}^1({mathbb R}^2)).
The above estimates allow us to pass to the limit as N goes to infinity and to get the desired result.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com