standard and robust methods in regression imputation

Clicks: 167
ID: 157810
2014
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Abstract
The aim of this paper is to provide an introduction of new imputation algorithms for estimating  missing  values  from official statistics in larger data sets of data pre-processing , or outliers. The goal is to  propose  a new algorithm called IRMI (iterative robust model-based imputation).This algorithm is able to deal with all challenges like representative and non-representative outliers and a mixture of different distributions of variables. This algorithm is compared to the algorithm IVEWARE to illuminate the advantages and disadvantages of different techniques for imputation in artificial data and real data sets from official statistics , with respect to robustness are proposed, especially in presence of outliers the model-based of new algorithm  is preferable.
Reference Key
moraveji2014internationalstandard Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Behjat Moraveji;Koorosh Jafarian
Journal future studies research journal: trends and strategies
Year 2014
DOI
DOI not found
URL
http://www.journals.aiac.org.au/index.php/IJELS/article/view/539
Keywords
educationsocial sciences

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