By D. Krewski
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Used to adjust the census counts for intergovernmental allocation of funds? Should they nevertheless be the purpose of legislated The present paper concen- trates on the narrow question of adjustment for this single purpose However, it is important to keep in mind that in the real world of statistical policy a number of other questions must also be answered before deciding on a specific course of action. If the counts are adjusted for one purpose (but not others), can users cope with more than one "official" set of population figures?
However, both the Bureau of the Census and the Research Triangle Institute have expressed an interest in trying the method in future survey operations. 2. MODEL ASSUMPTION FOR NON-SAMPLING ERRORS This study is confined to non-sampling errors of quantitative content items. It is hoped to cover categorical items in subsequent studies. We adopt "additive error models" (also used in the more recent literature) in which the error made by (say) a particular interviewer are correlated through an additive error term.
Let G denote a given set of selected second- aries and interviewer- and coder-randomisations (see Section 7). Then V(y'y) where V[#|G] = V E[y'y|G] G — and E[·|G] + E V[Y'y|G] G — (10) denote the conditional variance and conditional expectation given a set G , and V and E denote G G the variance and expectation over all possible sets G . cï)Sc+h5s
Current Topics in Survey Sampling. Proceedings of the International Symposium on Survey Sampling Held in Ottawa, Canada, May 7–9, 1980 by D. Krewski