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Title

On Hierarchical Multiple Imputation Method for Handling Missing Data

Year: 1400
COI: JR_KJMMRC-10-2_008
Language: EnglishView: 85
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Authors

Ayyub Sheikhy - Department of Statistics, Faculty of mathematics and computer, Shahid Bahonar university of Kerman, Kerman, Iran
Alireza Arabpour - Department of Statistics, Faculty of mathematics and computer, Shahid Bahonar university of Kerman, Kerman, Iran
Mashallah Mashinchi - Department of Statistics, Faculty of mathematics and computer, Shahid Bahonar university of Kerman, Kerman, Iran
R. Pourmousa - Department of Statistics, Faculty of mathematics and computer, Shahid Bahonar university of Kerman, Kerman, Iran
Mohsen Rezapour - Department of Statistics, Faculty of mathematics and computer, Shahid Bahonar university of Kerman, Kerman, Iran
Mohammad Javad Roastami - Department of Computer Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Khosravi Mohsen - Department of Statistics, Faculty of mathematics and computer, Shahid Bahonar university of Kerman, Kerman, Iran
Amin Abbdollah Nejad - Kerman Chamber of Commerce, Industries, Mines and Agriculture, Kerman, Iran
Abed Badakhshan - Department of Statistics, Faculty of mathematics and computer, Shahid Bahonar university of Kerman, Kerman, Iran

Abstract:

In this work we carry out a multiple imputation technique for handling missing observations. We propose an algorithm, which performs a hierarchical multiple imputation using edition rules to impute missing values. We assess our algorithm using a simulation study and a numerical application of our algorithm in dataset of Kerman Chamber of Commerce, Industries, Mines and Agriculture is presented for more illustration.

Keywords:

Paper COI Code

This Paper COI Code is JR_KJMMRC-10-2_008. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1296093/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Sheikhy, Ayyub and Arabpour, Alireza and Mashinchi, Mashallah and Pourmousa, R. and Rezapour, Mohsen and Roastami, Mohammad Javad and Mohsen, Khosravi and Abbdollah Nejad, Amin and Badakhshan, Abed,1400,On Hierarchical Multiple Imputation Method for Handling Missing Data,https://civilica.com/doc/1296093

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: دانشگاه دولتی
Paper count: 18,570
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