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- W2327261517 abstract "Summary Certain aspects of the multivariate analysis of data from possibly complex survey designs are discussed in terms of a large sample methodology involving weighted least squares algorithms for the computation of Wald statistics. In particular, consideration is given to the problems associated with univariate and multivariate comparisons among cross-classified sub-populations. Finally, a philosophical discussion based on response (in the sense of measurement) error model concepts is given to motivate the validity of such least squares (both unweighted and weighted) methods for investigating the relationship between a particular dependent variable and several independent variables in a manner analogous to multiple regression analysis. This methodology is illustrated with several examples involving data from reports of the U.S. National Center for Health Statistics." @default.
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- W2327261517 date "1975-04-01" @default.
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- W2327261517 title "Strategies in the Multivariate Analysis of Data from Complex Surveys" @default.
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- W2327261517 doi "https://doi.org/10.2307/1402660" @default.
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