By Donald B. Rubin
Demonstrates how nonresponse in pattern surveys and censuses may be dealt with by means of exchanging each one lacking price with or extra a number of imputations. in actual fact illustrates the benefits of sleek computing to such deal with surveys, and demonstrates the good thing about this statistical process for researchers who needs to research them. additionally provides the heritage for Bayesian and frequentist conception. After setting up that merely average complete-data tools are had to research a multiply-imputed set, the textual content evaluates approaches in most cases situations, outlining particular systems for developing imputations in either the ignorable and nonignorable circumstances. Examples and workouts toughen principles, and the interaction of Bayesian and frequentist principles offers a unified photograph of contemporary facts.
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