Improved Mean Methods of Imputation

Improved Mean Methods of Imputation

Replacing missing values of a variable with the mean of the non-missing values is a simple and natural way to impute values fortunately in the case where data is missing completely at random. Following a short review of this method we consider thus possible improvements, are called the shrinkage met...

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Veröffentlicht in:Statistics, optimization & information computing optimization & information computing, 2018-11, Vol.6 (4), p.526
Hauptverfasser: Mohamed, Choukri, A. Sedory, Stephen, Singh, Sarjinder
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Sprache:eng
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Missing data
Shrinkage
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creator Mohamed, Choukri
A. Sedory, Stephen
Singh, Sarjinder
description Replacing missing values of a variable with the mean of the non-missing values is a simple and natural way to impute values fortunately in the case where data is missing completely at random. Following a short review of this method we consider thus possible improvements, are called the shrinkage method, a second called the weighted interval method, and a third called the known variance method. Estimates of the population mean obtained from each of these methods are compared to the mean method both analytically and by means of numerical examples.
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subjects Missing data
Shrinkage
title Improved Mean Methods of Imputation
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