Abstract
When selecting variables in multiple-regression studies, the model with the lowest value of Mallows's Cp-statistic is often chosen. It is shown here that when the estimate of σ2 comes from the full model an adjusted Cp, C̄p, has the property that E(C̄p) = p. It is suggested that a procedure be adopted which involves testing whether the model with minimum C̄p is really better than a simpler model. Tables approximating the null distribution of the test statistics are given.
Original language | English |
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Pages (from-to) | 49-56 |
Number of pages | 8 |
Journal | Statistician |
Volume | 45 |
Issue number | 1 |
Publication status | Published - 1996 |
Keywords
- Multiple regression
- Multivariate F-distribution
- Variable selection