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Then, a statistical formulation of general nonlinear structural equation analysis is introduced, and a general model fitting procedure applicable under weak assumptions on latent variable distributions is developed.
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Variable distributions were examined for normality.
Normality of variable distributions was evaluated by Kolmogorov-Smirnov test.
Variable distributions were evaluated using histograms and residuals where appropriate.
Variable distributions were determined from publications and expert opinion.
Where variable distributions were not normalised by log transformation medians and inter-quartile ranges are presented.
Normality of the dependent variable distributions was checked using the Shapiro-Wilk test.
Normality of the dependent variable distributions was checked using Shapiro-Wilk tests.
The normality of variable distributions was determined using the Shapiro-Wilk test.
Output variable distributions were obtained for each tree from the 30-year sequence (from ages 40 to 70).
No notable differences in the variable distributions were noted between the two cohorts, GINI and LISA, thus the data was pooled.
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