The phrase "average of log" is correct and usable in written English.
It can be used in mathematical or statistical contexts when discussing the average value of logarithmic data or functions.
Example: "To analyze the data effectively, we calculated the average of log values obtained from the experiment."
Alternatives: "mean of logarithm" or "average logarithm value".
At that time, the spatial distribution of the average of log(B obs.
The average of log real wages is normalized to 1982 84 prices, by a single-year potential experience.
From electrical images, we calculated the average of Log(R) values along the CNT length (Table 1).
The average of log(B obs. /B theo. ) in Fig. 5b is nearer to 0.0 than that in Fig. 5a.
Then, the value of a which gives the minimum value of the average of log(B obs. /B theo. ) was determined for each station (Fig. 4). Figure 5a, b show the average of log(B obs. /B theo. ) before and after the value of a is optimized.
b a is chosen from 150, 200, 600, or 1000 m to minimize the average of log(B obs. /B theo. ) all over the observed earthquakes at each station.
A problem of having some observations aggregated in grouped categories is that, since we only observe the stock of immigrants for the group, the dependent variable is measured with error provided that the log of the average stock of the group is not equal to the average of logs of bilateral stocks.
The up- or down-regulated genes in any tissues were calculated from the average of log-transformed normalized signal values.
Let the normalizing covariate be the average of log-intensities for the housekeeping genes from a sample, i.e. z i = h - 1 ∑ g ∈ H y g i. Define log 2 C ¯ H = h - 1 ∑ g ∈ H log 2 (C g i / C g s ) and note that this quantity is the same for all samples, i = 1,…, n, because of the a priori assumption that these are housekeeping genes.
Figure 2b shows averages of log likelihood (-2logL) for various (1-x) values together with their ranges when REML estimates were obtained for the variance components.
These data demonstrated that the Taylor approximation formula in [4] agrees quite well with the empirical results (averages of log adjusted RRs in the simulations) and that the adjustments are on average in the right direction for positive confounding (SRR < crude RR, panel A) and negative confounding (SRR > crude RR, panel B).
