2001Application of Statistics and ManagementRequires access

Imputation adjustment method for missing data

Jin Yong

Open publisher page 6 citations

Abstract

Imputation is another sort of adjustment methods to reduce the bias of estimation under missing data. This paper introduces several imputation methods:those methods include: Deductive imputation, Mean value imputation, Randomized imputation Regression method and Multiple imputation.

About this research paper

What this paper is about

Imputation is another sort of adjustment methods to reduce the bias of estimation under missing data. This paper introduces several imputation methods:those methods include: Deductive imputation, Mean value imputation, Randomized imputation Regression method and Multiple imputation.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Imputation is another sort of adjustment methods to reduce the bias of estimation under missing data. This paper introduces several imputation methods:those methods include: Deductive imputation, Mean value imputation, Randomized imputation Regression method and Multiple imputation.

Key concepts: Imputation (statistics), Missing data, Computer science, Statistics, Regression, Econometrics, Data mining, Mathematics

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