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مقالات فارسیISIکنفرانسهاژورنالها

On Hierarchical Multiple Imputation Method for Handling Missing Data

Publish place: Journal of Mahani Mathematical Research، Vol: 10، Issue: 2
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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لینک ثابت به این Paper:
https://civilica.com/doc/1296093

شناسه ملی سند علمی:

JR_KJMMRC-10-2_008

تاریخ نمایه سازی: 1 آبان 1400

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:

Missing Data , Multiple Imputation , Editing Rules , Data Cleaning

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

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