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dc.contributor.authorLee, S.-J.en
dc.contributor.authorVonta, Filiaen
dc.contributor.authorKaragrigoriou, Alexen
dc.creatorLee, S.en
dc.creatorVonta, Filiaen
dc.creatorKaragrigoriou, Alexen
dc.date.accessioned2019-12-02T10:36:41Z
dc.date.available2019-12-02T10:36:41Z
dc.date.issued2011
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57218
dc.description.abstractIn this paper, we propose a test of fit based on maximum entropy. The asymptotic distribution of the proposed test statistic is established and a corrected form for small and medium sample sizes is furnished. The performance of the test is investigated through extensive Monte Carlo simulations. Real examples are also presented and analyzed. © 2011 Elsevier B.V. All rights reserved.en
dc.sourceComputational Statistics and Data Analysisen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79956124299&doi=10.1016%2fj.csda.2011.03.012&partnerID=40&md5=7dd5e4b6f7913c8fd6f28504c71a13fd
dc.subjectBrownian bridgeen
dc.subjectComputer simulationen
dc.subjectMonte Carlo methodsen
dc.subjectMonte Carlo Simulationen
dc.subjectStatistical testsen
dc.subjectEntropyen
dc.subjectMaximum entropyen
dc.subjectReliabilityen
dc.subjectGoodness-of-fit testen
dc.subjectAsymptotic distributionsen
dc.subjectGoodness of fit testen
dc.subjectMaximum entropy measureen
dc.subjectReal exampleen
dc.subjectSample sizesen
dc.subjectType testsen
dc.titleA maximum entropy type test of fiten
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.csda.2011.03.012
dc.description.volume55
dc.description.issue9
dc.description.startingpage2635
dc.description.endingpage2643
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :14</p>en
dc.source.abbreviationComput.Stat.Data Anal.en
dc.contributor.orcidKaragrigoriou, Alex [0000-0002-4919-2133]
dc.contributor.orcidVonta, Filia [0000-0002-7897-6797]
dc.gnosis.orcid0000-0002-4919-2133
dc.gnosis.orcid0000-0002-7897-6797


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