log-linear model


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log-linear model

a statistical model which models frequency counts in contingency tables by using an analysis of variance approach.
References in periodicals archive ?
10] on mortality, an additive Poisson log-linear model is fit to the time series of observed mortality.
We adopted the log-linear model because the linear model is not amenable to rigorous statistical evaluation; estimates and confidence intervals for means, and p-values for heterogeneity are unreliable.
The method proposed here is not restricted to the log-linear model used in this analysis, nor is it linked to the statistical likelihood chosen for the analysis.
This is well below the value from [chi square] tables for 12 degrees of freedom and 95% confidence, which is 21, indicating that the log-linear model of Equation 1 is statistically consistent with the data set.
This difference due to risk weighting in our log-linear model with person-specific baseline risks is likely to be small and to vary slowly over time.
In constructing a log-linear model of these patterns, let us denote the observed count for the (i, j, k, l) cell as [x.
The log-linear model was also used to examine whether obtaining information from one particular source of information is associated with obtaining information from another source; results are presented in Table 4, and the response profile of information sources consulted is in Appendix Table C.
The linear model implies constant partial effects between housing characteristics and selling price, while the log-linear model allows for nonlinear price effects.
The log-linear model was determined to have value in predicting new plant operating performance, forecasting future performance of current production lines, and identifying processes that are under-performing their potential.
Estimation of standard parameters of the log-linear model which best explains variations in food habits of wolves of the Lac Jacques-Cartier highlands according to packs and years of study (pack x prey: [G.
First of all, the result of one of our estimated log-linear models indicates that financial crises and financial liberalization are independent of each other, whereas that of another estimated log-linear model reveals that they are independent of each other conditional on government size.
The log-linear model does not exhibit endogeneity as determined by the Hausman test.