Sentence examples for measurements we consider from inspiring English sources

In the measurements, we consider broadcast and relaying phases individually.

But for general throughput measurements, we consider the aggregate of all packets.

For the performance measurements we consider the time required for modular exponentiations and multiplications only which are denoted as e and mul, respectively.

In our measurements, we consider the fair-weather electric field and the associated conduction current that brings positive charge to the ground, as negative polarity.

To account for uncertainty in the leak-off tests themselves and in extrapolation along assumed linear gradients between the measurements, we consider a range of S hmin of ±2 MPa around the values defined by these gradients.

Since bed measurements are more variable than the family room or centre of bedroom measurements, we consider that use of the two bed measurements would capture much of the inter-individual variation in exposure.

But our results cannot be derived directly from general results on regression estimators because the nonparametric regression model with repeated measurements we considered has complex dependent error's structure.

For a small number of individuals with multiple well measurements, we considered variability in well measurements in a sensitivity analysis using a time-weighted well concentration rather than an arithmetic average to predict serum PFOA concentrations [see Supplemental Material (doi 10.1289/ehp.1002503)].

Although the use of the untrimmed placenta and umbilical cord may introduce some bias into the placental weight measurements, we considered this method consistent with another study and believe any effects would be negated by the large sample size [ 18].

By preparing PBMCs and plasma samples for FTIR measurements we considered all the possible contaminations and interferences from biochemical materials involved in the sample preparation due to the nature of FTIR as highly sensitive biochemical analytical tool.

For the ith subject (i=1,.,N) with ni (j=1,…,ni) repeated measurements, we considered the model, E(Yi |Xi,Zi) =g-1 Xiβ + Zibi), where g is a monotone link function and Yi is Nx1 vector of responses, Xi is nixp matrix of covariates, Zi is nixq matrix of covariates (q≤p), β is a px1 vector of fixed effect parameters, bi is a qx1 vector of random effects.