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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.
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.
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Two types of regression models are used; a log linear regression model for OOPE and a logit regression model for CHS.
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].
Second, we confirmed all statistically significant interactions (q < 0.05) using a log-linear approach among case-parent triads.
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.
Our primary interest in using a log-linear modeling approach was to characterize the overall structure of agreement present in the data.
Because this variable does not follow a Poisson distribution, we use a different method to detect climate regime shifts in the temperature or passage frequency series: using a log-linear regression model in which a step function is expressed as an independent variable.
In assessing the effect of grazing intensity on herbaceous and woody species abundance (because species abundance were counts), a log-linear regression was applied; this is because both herbaceous and woody species data were count data and best analysed using a log-linear Poisson regression.
No significant effect of the distance to the edge could be detected in either the young or the old stands, using a log-linear regression approach (Fig. 3).
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