In today's era of information explosion, the missing data has become a common phenomenon, Such as reliability analysis, crop experiments, pharma-ceutical tracking test and so on, often produce large amounts of missing data, if we don't take any remedy measures, this will seriously affect analysis efficiency of the statistical methods,therefore, how to deal with missing data scientifically is important for the missing data statistics research and application.
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