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https://doi.org/10.1037/0033-2909.106.2.315
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Cite Journal: Psychological Bulletin |  Publication Date: Jan 1, 1989 |
 Citations: 249 |
It is shown that, in large samples, the more parsimonious of two competing nested models yields an estimator of the common parameters that has smaller sampling variance. The use of parsimony as a criterion for choice between two otherwise acceptable models can thus be rationalized on the basis of precision of estimation.
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