Control of Coronavirus with New Cosh Inverse Exponential Distribution

preprint OA: closed
Full text JSON View at publisher

Abstract

Abstract Our study is focused on generating a new model of Hyperbolic Cosine Family (HCF) of distributions with inverse exponential distribution called Cosh Inverse Exponential Distribution (CIE). Important properties of the proposed distribution including explicit expressions for the moments, the quantiles, the mode, the moment generating function, the estimating parameters of CIE distribution are obtained by Maximum Likelihood (ML) method. Furthermore, the CIE model will be used to control of the coronavirus. The Pontryagin's Minimum Principle (PMP) algorithm is applied on various cases. The results obtained show that the proposed model can applied and used in practical life and in all areas.
Full text 8,551 characters · extracted from preprint-html · click to expand
Control of Coronavirus with New Cosh Inverse Exponential Distribution | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Control of Coronavirus with New Cosh Inverse Exponential Distribution Saeed E. Hemeda This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4146069/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Our study is focused on generating a new model of Hyperbolic Cosine Family (HCF) of distributions with inverse exponential distribution called Cosh Inverse Exponential Distribution (CIE). Important properties of the proposed distribution including explicit expressions for the moments, the quantiles, the mode, the moment generating function, the estimating parameters of CIE distribution are obtained by Maximum Likelihood (ML) method. Furthermore, the CIE model will be used to control of the coronavirus. The Pontryagin's Minimum Principle (PMP) algorithm is applied on various cases. The results obtained show that the proposed model can applied and used in practical life and in all areas. Cosh inverse exponential distribution Hazard function Maximum likelihood estimation Control theory Pontryagin's minimum principle Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4146069","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":296473216,"identity":"8acabecd-188e-4c42-abce-52f6b2b7fcb2","order_by":0,"name":"Saeed E. Hemeda","email":"data:image/png;base64,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","orcid":"","institution":"Obour Institutes","correspondingAuthor":true,"prefix":"","firstName":"Saeed","middleName":"E.","lastName":"Hemeda","suffix":""}],"badges":[],"createdAt":"2024-03-21 23:29:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4146069/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4146069/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56857954,"identity":"7be30205-320d-4822-8d73-7865482c9ac4","added_by":"auto","created_at":"2024-05-21 10:32:06","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":591926,"visible":true,"origin":"","legend":"","description":"","filename":"ControlofCoronaviruswithNewCoshInverseExponentialDistFinal2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4146069/v1_covered_213c862d-a194-461b-aec3-2fa3b7770744.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Control of Coronavirus with New Cosh Inverse Exponential Distribution","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Cosh inverse exponential distribution, Hazard function, Maximum likelihood estimation, Control theory, Pontryagin's minimum principle","lastPublishedDoi":"10.21203/rs.3.rs-4146069/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4146069/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eOur study is focused on generating a new model of Hyperbolic Cosine Family (HCF) of distributions with inverse exponential distribution called Cosh Inverse Exponential Distribution (CIE). Important properties of the proposed distribution including explicit expressions for the moments, the quantiles, the mode, the moment generating function, the estimating parameters of CIE distribution are obtained by Maximum Likelihood (ML) method. Furthermore, the CIE model will be used to control of the coronavirus. The Pontryagin's Minimum Principle (PMP) algorithm is applied on various cases. The results obtained show that the proposed model can applied and used in practical life and in all areas.\u003c/p\u003e","manuscriptTitle":"Control of Coronavirus with New Cosh Inverse Exponential Distribution","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-03 04:15:29","doi":"10.21203/rs.3.rs-4146069/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"2bc1f1ee-7072-41e8-85d2-6af3ea39f436","owner":[],"postedDate":"May 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-05-21T10:23:58+00:00","versionOfRecord":[],"versionCreatedAt":"2024-05-03 04:15:29","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4146069","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4146069","identity":"rs-4146069","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00