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Linear Contrasts in One-Way Classification Ar(1) Model With Gamma Innovations

dc.contributor.author Senoglu, Birdal
dc.contributor.author Bayrak, Ozlem Turker
dc.date.accessioned 2020-04-20T10:27:17Z
dc.date.accessioned 2025-09-18T14:09:12Z
dc.date.available 2020-04-20T10:27:17Z
dc.date.available 2025-09-18T14:09:12Z
dc.date.issued 2016
dc.description Ozlem/0000-0003-0821-150X en_US
dc.description.abstract In this study, the explicit estimators of the model parameters in oneway classification AR(1) model with gamma innovations are derived by using modified maximum likelihood (MML) methodology. We also propose a new test statistic for testing linear contrasts. Monte Carlo simulation results show that the MML estimators have higher efficiencies than the traditional least squares (LS) estimators and the proposed test has much better power and robustness properties than the normal theory test. en_US
dc.identifier.citation Senoglu, Birdal; Bayrak, Ozlem Turker, "Linear contrasts in one-way classification AR(1) model with gamma innovations", Hacettepe Journal of Mathematics and Statistics, Vol. 45, No. 6, pp. 17-43-1754, (2016). en_US
dc.identifier.doi 10.15672/HJMS.20164515996
dc.identifier.issn 2651-477X
dc.identifier.issn 1303-5010
dc.identifier.scopus 2-s2.0-85006250756
dc.identifier.uri https://doi.org/10.15672/HJMS.20164515996
dc.identifier.uri https://hdl.handle.net/20.500.12416/13312
dc.language.iso en en_US
dc.publisher Hacettepe Univ, Fac Sci en_US
dc.relation.ispartof Hacettepe Journal of Mathematics and Statistics
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Autoregressive Model en_US
dc.subject Linear Contrasts en_US
dc.subject Nonnormality en_US
dc.subject Robustness en_US
dc.subject Modified Likelihood en_US
dc.subject Gamma Distribution en_US
dc.title Linear Contrasts in One-Way Classification Ar(1) Model With Gamma Innovations en_US
dc.title Linear contrasts in one-way classification AR(1) model with gamma innovations tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id , Ozlem/0000-0003-0821-150X
gdc.author.scopusid 6506973358
gdc.author.scopusid 34970726800
gdc.author.wosid Senoglu, Birdal/Aag-9300-2020
gdc.author.wosid Turker Bayrak, Ozlem/Abc-1373-2020
gdc.author.yokid 56416
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Senoglu, Birdal] Ankara Univ, Dept Stat, Fac Sci, Do Gol Caddesi, TR-06100 Ankara, Turkey; [Bayrak, Ozlem Turker] Cankaya Univ, Stat Unit, Ankara, Turkey en_US
gdc.description.endpage 1754 en_US
gdc.description.issue 6 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 1743 en_US
gdc.description.volume 45 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.openalex W2335431736
gdc.identifier.trdizinid 486666
gdc.identifier.wos WOS:000392742200009
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type TR-Dizin
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.6840947E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Autoregressive model;linear contrasts;nonnormality;robustness;modied likelihood;gamma distribution
gdc.oaire.keywords Matematik
gdc.oaire.keywords Mathematical Sciences
gdc.oaire.popularity 8.5176166E-10
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
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gdc.opencitations.count 2
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gdc.publishedmonth 12
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gdc.virtual.author Bayrak, Özlem
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