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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Yazd University</PublisherName>
				<JournalTitle>Journal of Statistical Modelling: Theory and Applications</JournalTitle>
				<Issn>2676-7392</Issn>
				<Volume>2</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On the estimation problem in AR(1) model with exponential innovations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>51</FirstPage>
			<LastPage>62</LastPage>
			<ELocationID EIdType="pii">2695</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jsmta.2021.2695</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Abdollah</FirstName>
					<LastName>Saadatmand</LastName>
<Affiliation>Department of Statistics‎, ‎College of Science‎, ‎Payame Noor University‎, ‎P.O‎. ‎Box‎, ‎19395-4697‎, ‎Tehran‎, ‎Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-7998-1988</Identifier>

</Author>
<Author>
					<FirstName>Ali Reza</FirstName>
					<LastName>Nematollahi</LastName>
<Affiliation>Department of Statistics, College of Science, Shiraz University, Shiraz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-2623-7159</Identifier>

</Author>
<Author>
					<FirstName>Soltan Mohammad</FirstName>
					<LastName>Sadooghi-Alvandi</LastName>
<Affiliation>Department of Statistics, College of Science, Shiraz University, Shiraz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>03</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract>In this article, the autoregressive model of order one with exponential innovations is considered. The maximum likelihood and Bayes estimators of the autoregression parameter, under squared error loss function with non-informative prior are examined. A simulation study is conducted to compare the behavior of the estimators via their relative bias and risks. Moreover, a real data example is presented.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Autoregressive model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bayes estimation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Exponential innovations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maximum likelihood estimation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jsm.yazd.ac.ir/article_2695_7200cf1ab3c81208274a2dfe26cc4259.pdf</ArchiveCopySource>
</Article>
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