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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>17</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2006</Year>
					<Month>09</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Minimax Estimation of the Scale Parameter in a Family of Transformed Chi-Square Distributions under Asymmetric Squared Log Error and MLINEX Loss Functions</ArticleTitle>
<VernacularTitle>-</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">31766</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		    <Abstract>This paper is concerned with the problem of finding the minimax estimators of the scale parameter ? in a family of transformed chi-square distributions, under asymmetric squared log error (SLE) and modified linear exponential (MLINEX) loss functions, using the Lehmann Theorem [2]. Also we show that the results of Podder et al. [4] for Pareto distribution are a special case of our results for this family of distributions.</Abstract>
<ArchiveCopySource DocType="pdf">https://jsciences.ut.ac.ir/article_31766_ed3551789fc0376ff8938b6827b16eae.pdf</ArchiveCopySource>
</Article>
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