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One particular challenge is the study design of using the student as the statistical unit of analysis, which in certain cases may lead to a violation of the "independence of error" assumption.
process leading to the independence of error events in different blocks.
Lack of independence of error terms can have serious effects on the inferences in the analysis of variance [33].
The h-d observations made in plots and stands may be highly correlated, thus violating the principle of independence of error terms (Calama and Montero 2004).
To ensure independence of error terms we tested for autocorrelation in the residuals from all regression models using the Durbin-Watson statistic [17].
For all models, independence of error terms was specified.
Similar(47)
The performance of multilayer perceptron (MLP) and that of linear regression (LR) were compared, with regard to the quality of prediction and estimation and the robustness to deviations from underlying assumptions of normality, homoscedasticity and independence of errors.
My talk was on uncertainty in lidar inputs to fire models, and I got a great question from Mark Fonstad about the real independence of errors – as in canopy height and canopy base height are likely correlated, so aren't their errors?
The assumptions of linearity, non-collinearity, independence of errors, homoscedasticity, unusual points, and normality of residuals were met.
The assumptions of linearity, non-collinearity, independence of errors, homoscedasticity, unusual points, and normality of residuals were met by the used model (Table 2).
On inspecting the graphs of the residuals for the heights estimated by the models for each species grouping, we did not find any anomalies that would suggest non compliance of underlying hypothesis of independence of errors or homogeneity of variance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com