network profile
| bio | website | |
|---|---|---|
| location | New York | |
| age | ||
| visits | member for | 1 year, 5 months |
| seen | Feb 28 at 16:32 | |
| stats | profile views | 125 |
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Jul 19 |
comment |
Looking at residuals vs. residual percentages Correct - the standard error is minimized at the mean and symmetrically on both sides. I suggest sorting on the absolute value of the t-statistic to address that symmetry. You need a ruler to compare which residuals are more "outlier-y". The magnitude of the residual is not a good measure because it depends on its proximity to the mean. So I suggest normalizing the absolute residual with respect to the prediction interval so you can compare across residuals. If the residual is large but farther from the mean then this approach will proportionally give that residual more tolerance for error. |
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Jul 19 |
revised |
Incorporating seasonality into CART models added 42 characters in body |
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Jul 19 |
asked | GRS statistic in R to test that intercepts from multivariate panel regression are jointly zero? |
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Jul 19 |
accepted | Is there an R optimization package that can handle integer constraints and non-linear objective functions? |
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Jul 18 |
answered | Looking at residuals vs. residual percentages |
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Jul 18 |
answered | Incorporating seasonality into CART models |
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Jul 15 |
asked | Approximate vs. Strict Factor model specification in R |
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Jul 14 |
revised |
Is there an R optimization package that can handle integer constraints and non-linear objective functions? added 82 characters in body; edited tags |
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Jul 14 |
asked | Is there an R optimization package that can handle integer constraints and non-linear objective functions? |
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Jul 1 |
asked | Best imputation method for stochastic noisy data? |
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Jun 30 |
asked | Calculating the transfer entropy in R |
