Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Atila Göktaş"'
Publikováno v:
Journal of Statistical Computation and Simulation. 91:2074-2093
Multicollinearity is a common problem in multiple regression that occurs whenever two or more explanatory variables are highly correlated. When multicollinearity exists, the method of Ordinary Leas...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7b7046251ec7ae631abc94d6d88b8db
https://doi.org/10.1080/00949655.2021.1883611
https://doi.org/10.1080/00949655.2021.1883611
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:1257-1275
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ff3d6ef81190282f9540c23a141b1b7
https://doi.org/10.3233/jifs-192162
https://doi.org/10.3233/jifs-192162
Autor:
Atila Göktaş, Özge Akkuş
Publikováno v:
Journal of Statistical Computation and Simulation. 90:3009-3024
WOS: 000550105200001 The purpose of this study is to compare the Partial Least Squares (PLS), Ridge Regression (RR) and Principal Components Regression (PCR) methods, used to fit regressors with severe multicollinearity against a dependent variable.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fd837636a1abbe6f17e7da7d0af9ad5
https://doi.org/10.1080/00949655.2020.1793342
https://doi.org/10.1080/00949655.2020.1793342
Autor:
Oguz AKPOLAT, Atila GÖKTAŞ
Publikováno v:
Issue: 31 55-60
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Experimental studies in many fields such as chemistry, biochemistry, food and environmental sciences require very well designed experimental strategies to achieve the best results at minimum cost. At this point experimental design means application o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a15a5cc4870d561f567805185d67272
https://dergipark.org.tr/tr/pub/ejosat/issue/66239/981410
https://dergipark.org.tr/tr/pub/ejosat/issue/66239/981410
Autor:
Atila Göktaş, Volkan Sevinç
Publikováno v:
Volume: 23, Issue: 2 381-389
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 23, Iss 2, Pp 381-389 (2019)
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 23, Iss 2, Pp 381-389 (2019)
One ofthe major problems in fitting an appropriate linear regression model is multicollinearitywhich occurs when regressors are highly correlated. To overcome this problem, ridgeregression estimator which is an alternative method to the ordinary leas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5625fe3e6703e388fc917a21e6609df
https://doi.org/10.19113/sdufenbed.484275
https://doi.org/10.19113/sdufenbed.484275
We are pleased that the Eleventh International Statistics Days Conference (ISDC) was a great success.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::027720d515a9323ca933ff73923607dc
https://hdl.handle.net/20.500.12809/9042
https://hdl.handle.net/20.500.12809/9042
Autor:
Christophe Chesneau, Wiyada Kumam, Sania Anam, Salman Qadri, Aqib Ali, Wali Khan Mashwani, Muhammad Sulaiman, Samreen Naeem, Poom Kumam, Atila Göktaş, Farrukh Jamal
Publikováno v:
Entropy
Volume 22
Issue 5
Entropy, Vol 22, Iss 567, p 567 (2020)
Volume 22
Issue 5
Entropy, Vol 22, Iss 567, p 567 (2020)
The object of this study was to demonstrate the ability of machine learning (ML) methods for the segmentation and classification of diabetic retinopathy (DR). Two-dimensional (2D) retinal fundus (RF) images were used. The datasets of DR&mdash
th
th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27546e6d21d2a59b717b4ead54986018
https://pubmed.ncbi.nlm.nih.gov/33286339
https://pubmed.ncbi.nlm.nih.gov/33286339
Publikováno v:
J Appl Stat
WOS: 000556484300001 A large and wide variety of ridge parameter estimators proposed for linear regression models exist in the literature. Actually proposing new ridge parameter estimator lately proving its efficiency on few cases seems endless. Howe
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddfe543392056c741a3d13e5f607663d
https://hdl.handle.net/20.500.12809/375
https://hdl.handle.net/20.500.12809/375
Autor:
Yüksel Akay Ünvan, Ozgur Yaniay, Abdullah Khan, Atila Göktaş, Abdelouahed Hamdi, Wali Khan Mashwani
Mashwani, Wali Khan/0000-0002-5081-741X WOS: 000546423700001 Evolutionary algorithms (EAs) is a family of population-based nature optimization methods. In contrast to classical optimization techniques, EAs provide a set of approximated solutions for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75e0c98e6d52d633b0dd362fc89d6433
https://hdl.handle.net/20.500.12809/442
https://hdl.handle.net/20.500.12809/442
We are very pleased that the Eleventh International Statistics Days Conference (ISDC) was a great success. Since 1998, one of the most important events for Statistical community in Turkey has been ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcfb54b623def235fa1a5c52ba01f920
https://hdl.handle.net/20.500.12697/1638
https://hdl.handle.net/20.500.12697/1638