<?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>Yazd University</PublisherName>
				<JournalTitle>Journal of Statistical Modelling: Theory and Applications</JournalTitle>
				<Issn>2676-7392</Issn>
				<Volume>6</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A generalized δ-shock model in the discrete-time framework</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>127</FirstPage>
			<LastPage>135</LastPage>
			<ELocationID EIdType="pii">4223</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jsmta.2026.23871.1201</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Farhadian</LastName>
<Affiliation>Department of Statistics‎, ‎Razi University‎, ‎Kermanshah‎, ‎Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4027-9838</Identifier>

</Author>
<Author>
					<FirstName>Habib</FirstName>
					<LastName>Jafari</LastName>
<Affiliation>Department of Statistics‎, ‎Razi University‎, ‎Kermanshah‎, ‎Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-5191-2796</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>According to the δ-shock model‎, ‎a system subjected to random shocks fails when the inter-arrival time between two successive shocks is less than a critical threshold δ‎. ‎Several generalizations of the δ-shock model have been proposed to study shock-exposed systems in different scenarios‎. ‎In this paper‎, ‎we examine a recently proposed generalization of the δ-shock model within a discrete-time framework‎, ‎where inter-arrival times follow a geometric distribution‎. ‎We derive the probability generating function‎, ‎the mean time to failure‎, ‎and the variance of the system lifetime‎. ‎Furthermore‎, we present ‎an illustrative example related to crop insurance is presented to demonstrate the practical relevance and applicability of the proposed discrete-time model.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Crop insurance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Discrete-time framework</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Generalized δ-shock model</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jsm.yazd.ac.ir/article_4223_fe7f768018213b58d79d0cfd99e59f84.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
