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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume>29</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>02</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Efficient estimation of population median using supplementary variable</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>265</FirstPage>
			<LastPage>274</LastPage>
			<ELocationID EIdType="pii">21819</ELocationID>
			
<ELocationID EIdType="doi">10.24200/sci.2020.52871.2924</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>S.</FirstName>
					<LastName>Muneer</LastName>
<Affiliation>Department of Statistics, University of Peshawar, Peshawar, Pakistan</Affiliation>
<Identifier Source="ORCID">0000-0002-2713-379X</Identifier>

</Author>
<Author>
					<FirstName>A.</FirstName>
					<LastName>Khalil</LastName>
<Affiliation>Department of Statistics, University of Peshawar, Peshawar, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>J.</FirstName>
					<LastName>Shabbir</LastName>
<Affiliation>Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>Gh.</FirstName>
					<LastName>Narjis</LastName>
<Affiliation>Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>02</Month>
					<Day>05</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we propose an exponential cum ratio-product type estimators for population median (M_y) under simple random sampling scheme (SRS). The expressions of bias and mean square error (MSE) are obtained up to first order of approximation. The proposed estimators is more efficient as compared to all other considered estimators under certain conditions. Both numerical and simulation studies show that the proposed estimators perform better as compared to all other considered estimators. Four real data sets and simulation studies are carried out to observe the performances of the estimators. It is observed that the proposed estimators is perform more efficient in all situations.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bias</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">MSE</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Efficiency</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Median</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_21819_0c5b708a7ae3f0df5d53aea5d67c4d59.pdf</ArchiveCopySource>
</Article>
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