Výsledky vyhledávání - "Tuğba Söküt Açar"

Akademický článek

The determination of optimal cluster number by Silhouette index at clustering of the European Union member countries and candidate Turkey by waste indicators

Autor: Nilgün Ayman Öz, Tuğba Söküt Açar

Publikováno v: Pamukkale University Journal of Engineering Sciences, Vol 26, Iss 3, Pp 481-487 (2020)

This study aims to identify cluster structure of European Union (EU) Member countries and Candidate Turkey in terms of environmental waste indicators and to determine the other member countries which are classified in the same cluster with Turkey. Hi

Externí odkaz: https://doaj.org/article/ceb5f8e4b2374201ab7f1113976834ad

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Identification of Leverage Points in Principal Component Regression and r-k Class Estimators with AR(1) Error Structure

Autor: Tuğba Söküt Açar

Publikováno v: Journal of Advanced Research in Natural and Applied Sciences. 6:353-363

The determination of leverage observations have been frequently investigated through ordinary least squares and some biased estimators proposed under the multicollinearity problem in the linear regression models. Recently, the identification of lever

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b4186dc46e0b577a5111708f05d5a178
https://doi.org/10.28979/jarnas.845208

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Avrupa Birliği üye ülkeler ve aday olan Türkiye’nin atık indikatörlerine göre kümelenmesinde optimum küme sayısının Silhouette indeksi ile belirlenmesi

Autor: Nilgun Ayman Oz, Tuğba Söküt Açar

Publikováno v: Pamukkale University Journal of Engineering Sciences, Vol 26, Iss 3, Pp 481-487 (2020)
Volume: 26, Issue: 3 481-487
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::982325f9b8570581317250d26b39084b
https://dergipark.org.tr/tr/pub/pajes/issue/54792/748954

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Regression diagnostics methods for Liu estimator under the general linear regression model

Autor: M. Revan Özkale, Tuğba Söküt Açar

Publikováno v: Communications in Statistics - Simulation and Computation. 49:771-792

This paper introduces the regression diagnostic methods for the Liu estimator under the general linear regression model with the autocorrelated error structure which is modeled by first-ord...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c350f33f4e8fee35c5a1a7e74ef93bb5
https://doi.org/10.1080/03610918.2019.1582781

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Jeotermal Akışkanın Hidrokimyasal Karakterizasyonunun Belirlenmesi: Simav (Kütahya) Örneği

Autor: Özlem Erol Tinaztepe, Tuğba Söküt Açar, Mustafa Ay, Deniz Şanyüksel Yücel, Mine Çardak

Publikováno v: Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 5:1-15

Yüksek sıcaklık ve basınç altında jeotermal akışkan ile uzun süre etkileşim içerisinde olan kayaçtaki birçok metal(loid) çözünerek suya geçmektedir. Jeotermal akışkanın içerdiği yüksek metal ve iz element konsantrasyonu nedeni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e4297262f1e35ff136b40ab97ab95c18
https://doi.org/10.28979/comufbed.547746

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A journey to children's perceptions on forest fire through drawings in Canakkale Province, Turkey: Exploring the needs for alternative educative approaches

Autor: Levent Genç, Asli Bobek Bagran, Nilgun Ayman Oz, Hasan Arslan, Melis Inalpulat, Tuğba Söküt Açar

Publikováno v: Applied Environmental Education & Communication. 18:285-299

The study aimed to statistically analyze forest fire perceptions and cognitive deficits of children through drawings. Results showed that children's perceptions on forest fire were under desirable levels. Also, perception levels were significantly im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::beb625a084784afb3686f03d8239429d
https://doi.org/10.1080/1533015x.2018.1468287

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Influence measures in ridge regression when the error terms follow an Ar(1) process

Autor: Tuğba Söküt Açar, M. Revan Özkale

Publikováno v: Computational Statistics. 31:879-898

Influence concepts have an important place in linear regression models and case deletion is a useful method for assessing the influence of single case. The influence measures in the presence of multicollinearity were discussed under the linear regres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7061570e28a285af838b35be689cd1
https://doi.org/10.1007/s00180-015-0615-5

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Leverages and Influential Observations in a Regression Model with Autocorrelated Errors

Autor: M. Revan Özkale, Tuğba Söküt Açar

Publikováno v: Communications in Statistics - Theory and Methods. 44:2267-2290

This article deals with the general form of the hat matrix and the DFBETA measure to detect the influential observations and the leverages in the linear regression model with more than one regressor when the errors are from AR(1) and AR(2) processes.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed5852671332ff57b7a97adc68ac36cd
https://doi.org/10.1080/03610926.2013.781646

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