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seemingly unrelated regression model when explanatory variables are affected by multicollinearity. To that end, we split the …
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non-parametric random forest algorithm. The multicollinearity is detected based on the variance inflation factor. Owing to … the presence of multicollinearity, regularisation techniques such as ridge regression and extensions of the least absolute …
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We show how the rootogram - a graphical tool associated with the work of J. W. Tukey and originally used for assessing goodness of fit of univariate distributions - can help to diagnose and treat issues such as overdispersion and/or excess zeros in regression models for count data. Two empirical...
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The rootogram is a graphical tool associated with the work of J. W. Tukey that was originally used for assessing goodness of t of univariate distributions. Here we show that rootograms are also useful for diagnosing and treating issues such as overdispersion and/or excess zeros in regression...
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