Skip to main content

Currently Skimming:


Pages 66-67

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 66...
... There has not been a comprehensive comparison of the use of iterative proportional fitting or related methods on unconstrained statistically matched files with constrained statistical matching, though Rubin's argument encourages this comparison. This trade-off of computational ease and nearest-neighbor matching versus the maintenance of marginal distributions has resulted in several compromises between unconstrained and constrained statistical matching.
From page 67...
... to (Xj, Yj, Zj) , where the^ indicates a value that is imputed using either an assumed conditional independence assumption or an assumed covariance for Y and Z


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.