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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Computational Sciences and Engineering</JournalTitle>
				<Issn>2783-2503</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>04</Month>
					<Day>25</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Usage of Pittman Proximity Criterion for Improving the Censored Plans based on Stochastic Simulation: Applicable to Capital Markets</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">9567</ELocationID>
			
<ELocationID EIdType="doi">10.22124/cse.2026.32965.1160</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Kianoush</FirstName>
					<LastName>Fathi Vajargah</LastName>
<Affiliation>Department of Statistics, NT.C., Islamic Azad University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Eslami Mofid Abadi</LastName>
<Affiliation>Department of Accounting &amp; Management, Shahr.C., Islamic Azad University, Shahriar, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>12</Day>
				</PubDate>
			</History>
		<Abstract>This paper has discussed the selection of optimal increasing censorship plan based on Pittman Proximity Criterion. For small sample sizes, the Pittman proximity probabilities were clearly calculated and also it has been indicated that optimal increasing censorship plan is the censorship plan from right of regular second type. It has been inferred that this could be the same in all sample sizes (small and great). There has been also provided an algorithm for numerical calculations for probabilities of Pittman approximation between both growing censorship plans of sample size. The methodology is extended to capital market applications, including credit risk modeling and option pricing.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Pittman Criterion</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Censored Plan</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">lifetime</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ordered Statistics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Capital Markets</Param>
			</Object>
		</ObjectList>
</Article>
</ArticleSet>
