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on hierarchical multiple imputation method for handling missing data
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نویسنده
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sheikhy ayyub ,arabpour alireza ,mashinchi mashallah ,pourmousa r. ,rezapour mohsen ,roastami mohammad javad ,mohsen khosravi ,abbdollah nejad amin ,badakhshan abed
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منبع
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journal of mahani mathematical research - 2021 - دوره : 10 - شماره : 2 - صفحه:103 -114
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چکیده
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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.
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کلیدواژه
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missing data ,multiple imputation ,editing rules ,data cleaning
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آدرس
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shahid bahonar university of kerman, faculty of mathematics and computer, department of statistics, iran, shahid bahonar university of kerman, faculty of mathematics and computer, department of statistics, iran, shahid bahonar university of kerman, faculty of mathematics and computer, department of statistics, iran, shahid bahonar university of kerman, faculty of mathematics and computer, department of statistics, iran, shahid bahonar university of kerman, faculty of mathematics and computer, department of statistics, iran, shahid bahonar university of kerman, kerman chamber of commerce, industries, mines and agriculture, department of computer engineering, iran, shahid bahonar university of kerman, faculty of mathematics and computer, department of statistics, iran, kerman chamber of commerce, iran, shahid bahonar university of kerman, faculty of mathematics and computer, department of statistics, iran
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پست الکترونیکی
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abidbadakhshan@gmail.com
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Authors
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