I have two general questions:
1. when will the survey statisticians in the U.S. move from weird variance estimation methods (grouped jackknife) to simple and straightforward (bootstrap)
1. when will the survey statisticians in the U.S. move from weird variance estimation methods (grouped jackknife) to simple and straightforward (bootstrap)
and
2. when will they move from weird imputation methods with limited dimensionality and limited ability to assess the implicit model fit (hotdeck) to those where you explicitly model and understand which variables matter for this particular outcome (ICE)?
2. when will they move from weird imputation methods with limited dimensionality and limited ability to assess the implicit model fit (hotdeck) to those where you explicitly model and understand which variables matter for this particular outcome (ICE)?
Oh and somebody reminded me of
3. when will we move from PROC STEPWISE to lasso as the rest of statistics world has
3. when will we move from PROC STEPWISE to lasso as the rest of statistics world has
A-a-and... there's number 4: CHAID and random forests
• • •
Missing some Tweet in this thread? You can try to
force a refresh
