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Parsimony in statistical modeling is often discussed in terms of Occam’s razor in the formulation of hypotheses. Address the following: Discuss the issues of overfitting versus using parsimony and how this is particularly important in big data analysis. Is overfitting more of a problem in the generalized least squares model? Discuss some hierarchical methods…

