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<Article>
<Journal>
				<PublisherName>Iranian Statistical Society</PublisherName>
				<JournalTitle>Journal of the Iranian Statistical Society</JournalTitle>
				<Issn>1726-4057</Issn>
				<Volume>25</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Sampling Scheme of Group Acceptance for Life Testing with the Half Logistic Distribution</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>91</FirstPage>
			<LastPage>103</LastPage>
			<ELocationID EIdType="pii">738136</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jirss.2026.2082914.1176</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Karthik Narayana</FirstName>
					<LastName>Boyapati</LastName>
<Affiliation>Data Engineer, Master’s in Computer Science, California State University, East Bay, 25800,
Carlos Bee Boulevard, Hayward, CA 94542, USA.</Affiliation>

</Author>
<Author>
					<FirstName>Siva Ram Prasad</FirstName>
					<LastName>J</LastName>
<Affiliation>Associate Professor, Department of Mathematics, Siddhartha Academy of Higher Education,
Deemed to be University, Vijayawada, Andhra Pradesh, India.</Affiliation>

</Author>
<Author>
					<FirstName>Srinivasa Rao</FirstName>
					<LastName>B</LastName>
<Affiliation>Professor of Statistics, Department of Mathematics &amp; Humanities, R.V.R. &amp; J.C. College of
Engineering, Chowdavaram, Guntur-522019, Andhra Pradesh, India.</Affiliation>
<Identifier Source="ORCID">0000-0002-6663-436X</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>01</Month>
					<Day>05</Day>
				</PubDate>
			</History>
		<Abstract>Reliability studies play a crucial role in quality control analysis. Based on these studies, an investigator can reduce both cost and time by efficiently deciding whether to reject or accept the provided lot. Sampling scheme of acceptance deals with the inspection of product lots and the action taken to reject or accept them, and it is one of the earliest schemesapplied in quality control. In present article, a sampling scheme of group acceptance is proposed with truncated life testing under the assumption that item lifetimes follow half logistic distribution. To a specified size of group, the least required count of groups and the corresponding acceptance count are calculated for given buyer’s risk and test completion time. Operating characteristic numbers are computed for different quality levels, and the least ratios of true mean life to stated life corresponding to a given vendor’s risk are calculated. The findings are demonstrated through illustrative examples.</Abstract>
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			<Param Name="value">half logistic distribution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">consumer' s risk</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">truncated life test</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">operating characteristic function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">manufacturer' s risk</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jirss.irstat.ir/article_738136_c132acabb20ce1ae73a9866b0997a05b.pdf</ArchiveCopySource>
</Article>
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