Sentence examples for mean estimates at from inspiring English sources
In this study, prevailing wind speed and direction were derived from global NCEP monthly mean estimates at 60 locations across the Asia-Pacific region at the 250 mb pressure level (Tropopause).
Geometric mean estimates at baseline were calculated from raw data.
The geometric mean estimates at postbaseline visits were derived from the LMM.
A non-parametric method based on a discrete approximation of the density function of the outcome using a sequence of conditional probability density functions is shown to provide robust conditional mean estimates, at least in large data sets, when mass at zero or multimodality is present in data or when covariate effects differ over ranges of the outcome (Gilleskie and Mroz, 2004).
Our data also indicate a much earlier divergence for the cave bear and brown bear lineages than those previously assumed, with a mean estimate at 2.8 Ma.
The basis for this is that if the mean estimate at any 1×1 km location from the full posterior distribution of the space time model is a robust estimate to the given time and location, then selected maximum mean estimate is equally so.
These illustrations demonstrated the relationship between the width of the confidence intervals around the mean estimate at various air quality levels and the density of the observed air quality data helping the U.S. EPA to evaluate the plausibility of a concentration threshold in the PM mortality relationship.
Subsequently simple models for the genotype means estimated at the most probable QTL position were explored, as described in Hackett et al. (2014).
To understand this interaction, follow-up tests examined the main effect of training (group) at low and high levels of dietary restraint (means estimated at 1 SD below and 1 SD above the sample mean restraint score; see Fig. 5).
Washington's own assessments of the Arctic refuge's 1.5-million-acre coastal plain put mean estimates of recoverable oil at 3 billion to 4 billion bbl.
At 50% and 70% attrition rates, mean estimates became extremely biased, even at weak dependencies between attrition and follow-up variables.
