Several preprocessing steps have been applied to the data, including temporal normalization to give the data equal weight and ensemble mean subtraction to remove first-order nonstationarity [27].
The non-parametric technique was considered because it makes inferences about entire populations rather than population parameters, and makes fewer assumptions about the nature of the data (equal variance, normal distribution).
A typical distribution used for count data GLMs is the Poisson distribution; however, in the Poisson distribution the mean of the count data equals its variance.
For the primary outcome, to assess the influence of the assumption that missing data equals "smoking" on the effect size, we tested various scenarios of the association between smoking and having missing data using the Hedeker method.
For the simulation related to F-measure, we assume that the recall on new data equals the recall on complete data as well as statistical independence between (t p + f n ) and δ, which together define the level of incompleteness.
An absolute difference between the ln of a pair of data equals the ln of the ratio within the pair (Bland and Altman 1996).
The R2 value of the fitted function to the tabulated data equaled 1.00.
For example, the migration from Poland to Germany estimated on the basis of German immigration data equals 141,035, whereas the estimate based on Polish emigration data is equal to 153,399.
Accordingly, the distribution was sharper, with a σapp value, which is derived from a Gaussian fit to the experimental data, equal to 0.029.
Hence, the number of the subcarrier cycles per symbol is 1, and the data rate equals BLF.
