Synthetic Multiple-Imputation Procedure for Multistage Complex Samples
نویسندگان
چکیده
منابع مشابه
Multiple Imputation in a Complex Sample Survey
Multiple imputation for missing survey data is relatively new concept. As defined by one of its leading proponents, "multiple imputation is the technique that replaces each missing or deficient value with two or more acceptable values representing a distribution of possibilities" (Rubin 1987, p.2). Multiply-imputed data reflects the uncertainty contained in the imputation process in a way not p...
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Multiple imputation provides a useful strategy for dealing with data sets with missing values. Instead of filling in a single value for each missing value, Rubin’s (1987) multiple imputation procedure replaces each missing value with a set of plausible values that represent the uncertainty about the right value to impute. These multiply imputed data sets are then analyzed by using standard proc...
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ژورنال
عنوان ژورنال: Journal of Official Statistics
سال: 2016
ISSN: 2001-7367
DOI: 10.1515/jos-2016-0011