Sentence examples for minimum daily pressure from inspiring English sources

Minimum daily pressure on the day of GDV was also identified as important and statistically significant factors in [ 7].

Second, the variables identified as factors significantly influencing the rate of GDV occurrence were the minimum daily pressure on the day of GDV, the maximum daily pressure on the day of GDV and the maximum daily pressure on the day before the GDV event.

Let us denote the minimum daily atmospheric pressure on a given day pmin t, maximum daily atmospheric pressure pmax t, maximum daily atmospheric temperature tmax t, and minimum daily atmospheric temperature tmin t.

In the names of the columns of Table 2, OR stand for the odds ratio and the MF for the multiplicative factor; the "other covariate OR" is either minimum daily atmospheric pressure on GDV day pmin t, the maximum daily atmospheric pressure on the GDV day pmax t or the maximum daily atmospheric pressure on the day before the GDV day pmax t -1.

Based on these models, it seems that the factors that influence the rate of GDV most noticeably are thus the minimum daily atmospheric pressure on the day of GDV event, the maximum daily atmospheric pressure on the day of GDV event and the maximum daily atmospheric pressure on the day before the GDV event.

For example, the minimum daily atmospheric pressure on the day of GDV event has an odds ratio of 1.0455 for the binary GLM model.

This suggests that for each increase of the minimum daily atmospheric pressure by 1 unit, the odds of the GDV case occurring on that day increase by the factor of 1.0455.

Thus, it is more precise to say that the odds of GDV occurrence on any given day increase by the factor of 1.0617 for each unit increase in the minimum daily atmospheric pressure given that we know whether there was or was not a case of GDV two days earlier.

For the respective Poisson model, the multiplicative impact factor is 1.0464 which means that for each increase of the minimum daily atmospheric pressure by 1 unit the probability of the day being a GDV day gets multiplied by the factor 1.0464.

Several of these models are based on complex input data sets, consisting of a series of climate, soil, and forest stand data (i.e., maximum and minimum daily temperature, vapor pressure, solar radiation, total monthly precipitation, forest type, and plant-available soil water holding capacity).

Therefore, the following eight measurements (variables) were included in our model: daily minimum relative humidity, daily maximum relative humidity, mean daily temperature, minimum daily temperature, maximum daily temperature, total daily precipitation, average daily atmospheric pressure, and average daily wind speed.