<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Bahonar University of Kerman</PublisherName>
				<JournalTitle>Journal of Mahani Mathematical Research</JournalTitle>
				<Issn>2251-7952</Issn>
				<Volume>14</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On the Zhang-power series distributions with application to lifetime modeling</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>505</FirstPage>
			<LastPage>525</LastPage>
			<ELocationID EIdType="pii">4587</ELocationID>
			
<ELocationID EIdType="doi">10.22103/jmmr.2024.23690.1676</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hamideh</FirstName>
					<LastName>Memarbashi</LastName>
<Affiliation>Department of Statistics, University of Birjand, Birjand, Iran</Affiliation>
<Identifier Source="ORCID">0009-0008-7786-1024</Identifier>

</Author>
<Author>
					<FirstName>Javad</FirstName>
					<LastName>Etminan</LastName>
<Affiliation>Department of Statistics, University of Birjand, Birjand, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Majid</FirstName>
					<LastName>Chahkandi</LastName>
<Affiliation>Department of Statistics, University of Birjand, Birjand, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>06</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>Many recent probability distributions are introduced by compounding the well-known continuous distributions  with the power series distribution.   In this paper, we provide a general closed-form expression  for the cumulative distribution function of this class. Then, we introduce  a new four parameter lifetime distribution called  Zhang-power series (ZPS) distribution. This distribution is very useful in the lifetime, reliability and extreme-value data analysis. The distribution properties including survival function, hazard function and limiting behavior of the probability density  and hazard functions are studied. The method of maximum likelihood estimation is used to estimate the model parameters. Applications to real data sets are given to show the flexibility and potentiality of the proposed model.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">maximum likelihood estimation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Monte Carlo simulation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Power series distribution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Zhang distribution</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmmrc.uk.ac.ir/article_4587_110efac1c32ce3d5c491fe695b3fbac6.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
