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Search results with tag "Multiple imputation"
312-2012: Handling Missing Data by Maximum Likelihood
statisticalhorizons.com1 Paper 312-2012 Handling Missing Data by Maximum Likelihood Paul D. Allison, Statistical Horizons, Haverford, PA, USA ABSTRACT Multiple imputation is rapidly becoming a popular method for handling missing data, especially with easy-to-use
Comparison of Competing Algorithms of Multiple Imputation ...
www.stat.go.jp高橋将宜、伊藤孝之：様々な多重代入法アルゴリズムの比較 40 はじめに1 データが欠測している場合、利用可能なデータサイズが縮小し、効率性が低下する。
Multiple Imputation for Missing Data: Concepts and New …
support.sas.comcomplete data sets. Ignorable Missing-Data Mechanism Let Y be the n×p matrix of complete data, which is not fully observed, and denote the observed part of Y by Y obs and the missing part by Y mis. The SAS multiple imputation procedures assume that the missing data are missing at random (MAR), that is, the probability that an observation is