The phrase "average of the sampled" is correct and usable in written English.
It can be used in statistical contexts when referring to the mean value calculated from a set of sampled data points.
Example: "To determine the overall performance, we calculated the average of the sampled scores from the test."
Alternatives: "mean of the sampled" or "average of the data collected".
Largest patch index (LPI), mean patch size (MPS), area-weighted mean shape index (AWMSI) and edge density (ED) were calculated for the no-canopy class as an average of the sampled squares at the selected scales.
We estimated the optimal solution by taking the ensemble average of the sampled points at τ 1, and its variance (sigma^{2}) from the squared residuals of (log left( {rA_{text{max} } } right)) at τ 1.
NNDs were calculated and compared with the random distribution, which was created from 100 trials with the same number of particles (centroids of tight clusters plus single scattered particles) distributed over an area with the same size as the average of the sampled profiles.
For computing random distributions, centroids of tight clusters and scattered particle locations were re-distributed randomly over an area with the same size as the average of the sampled profiles, and 100 such random distributions were created for each subcellular domain.
We then used the average AQUA score of the sampled FOVs to develop a linear model.
Data for Coastal Plain riparian zones based on the weighted average of the three sampled watersheds.
When the MCU starts, it first takes 100 readings from the accelerometers and takes the average of the sample data.
Once the user has finished providing samples for each keys, we take an average of the samples to give us the average flex sensor value for each finger.
Such an estimate is the average of the samples obtained for the first column of A⋆, which corresponds to CMB.
For both samples (of subtraction terms), we calculated the 5% confidence limits on the average of the sample using bootstrap methods.
The pooled standard deviation is the square root of the average of the sample variances [ 32].
