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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>19</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2008</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Asymptotic Behavior of Weighted Sums of Weakly Negative Dependent Random Variables</ArticleTitle>
<VernacularTitle>-</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">31908</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		    <Abstract>Let   be a sequence of weakly negative dependent (denoted by, WND) random variables with common distribution function F and let   be other sequence of positive random variables independent of   and   for some   and for all  . In this paper, we study the asymptotic behavior of the tail probabilities of the maximum, weighted sums, randomly weighted sums and randomly indexed weighted sums of heavy-tailed weakly negative dependent random variables, say,  ,  ,  , and  , respectively, where   are   bounded positive real numbers and N is a nonnegative integer-valued random variables, independent of   and   for all  . In fact, for a large class of heavy-tailed distribution functions, we show that the asymptotic relations,
 ,
hold as   Finally, if   and also   is a sequence of identical independent positive random variables, then we prove that</Abstract>
<ArchiveCopySource DocType="pdf">https://jsciences.ut.ac.ir/article_31908_28ca2a3ef786a75109a9e2af23c1a4f7.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
