Results were analysed using a log linear Poisson regression model.
For biomass estimation of village bamboos of Barak Valley, North East India, allometric relationships were developed by harvest method describing leaf, branch and culm biomass with DBH as an independent variable using a log linear model.
Two types of regression models are used; a log linear regression model for OOPE and a logit regression model for CHS.
Age-specific population estimates for the era before the KHDSS began were extrapolated using a log linear model of age-specific data based on subsequent enumerations.
To calculate the residuals of non-normally distributed count data (i.e., EPM rearing on day 1), we used a log linear model comprising a multiplicative dispersion factor relative to the Poisson variance function [ 80].
We again use a log-linear model to characterize what is in Figure 3.
Based on this principle, we can use a log-linear model to realize the model in Figure 2 as follows: (1) where the parameter set Θ contains w1,···, w K, one for each class, and the footnote T in all equations stands for transpose.
Second, we confirmed all statistically significant interactions (q < 0.05) using a log-linear approach among case-parent triads.
It was predictable using a log-linear relation with a 2-year average of July August air temperature weighted between the preceding summer (66.7%) and the current year (33.3%) (Fig. 2d).
Using a log-linear trend frequently proposed in previous studies, the method proposed herein predicts an approximate 20% gain in liquefaction resistance per time log cycle.
Using a log-linear model, we found a 6.9 IQ point decrement [95% confidence interval (CI), 4.2 9.4] associated with an increase in concurrent blood lead levels from 2.4 to 30 μg/dL.
