Sentence examples for over many observations from inspiring English sources
Although it seems logical to average over many observations to generate more reliable control estimates, the mean birth rates obtained by such a process are a weighted average of the seasonality present in the population and not an estimate of some fundamental underlying rate.
Indeed, these studies showed that many observations over a great distance were necessary to observe accidental tripping in older adults.
In the Millstone case, the problem is not about responding to individual staff observations about particular safety issues, but rather integrating across many observations over months, years and even decades.
I use the notation "@N" to indicate an HMSDCALE value of N. The range between the @1 and higher values of HMSDCALE models the range between no pre-publication review, that is no requirement of replication where everything that shows any promise is published into the literature, and a very stringent requirement of observing monotonic improvement over many sequential observations.
The networks generated using this approach are based on correlation of protein abundance over many different observations (time points in the cell culture data and patients in the clinical data).
While over 95% of HIV/AIDS diagnoses made in San Francisco are included in the surveillance database, many observations have missing data; in particular, VL was only 74.4% complete.
List as many observations as possible.
Furthermore, many observations were missing for PM.
This approach is applicable for many observation metrics, with observations made at stations through the area of interest and repeated over several days.
Individual C. leucoviridis demonstrated surprisingly different levels of overall responsiveness, and these "personalities" remained stable over many weeks of observations.
As expected, the imputation error increases on average as we increase the proportion of missing values in the test data, but the variation tends to reduce slightly, which is due to averaging over many more missing observations.
