Výsledky vyhledávání - "Nevin Güler Dincer"

Dynamic panel fuzzy time series model and its application to econometric time series

Publikováno v: International Journal of Approximate Reasoning. 133:30-47

This study proposes a new Fuzzy Time Series (FTS) approach, called as Dynamic Panel Fuzzy Time Series (DPFTS) which combines Dynamic Panel Data Analysis and FTS. The major advantages of proposed approach can be summarized as follows: i) proposed appr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3d259cb5022df9835b01e7934138c6e7
https://doi.org/10.1016/j.ijar.2021.03.004

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Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering

Autor: Muhammet Oğuzhan YALÇIN, Nevin GÜLER DİNCER, Öznur İŞÇİ GÜNERİ

Publikováno v: Volume: 43, Issue: 1 146-164
Cumhuriyet Science Journal

The objective of this study is to reveal the COVID19 characteristics of the countries by using time series clustering. Up to now, various studies have been conducted for similar objectives. But, it has been observed that these studies belong to early

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43fa89b71f6397e201f421f023d1f5ef
https://dergipark.org.tr/tr/pub/csj/issue/69185/969445

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EKONOMETRİK ZAMAN SERİLERİ TAHMİNİNDE KÜMELEMEYE DAYANAN BULANIK ZAMAN SERİLERİ YÖNTEMLERİNİN PERFORMANSLARININ KARŞILAŞTIRILMASI

Autor: Nevin Güler Dincer, Aytaç Pekmezci, Öznur Işçi Güneri

Publikováno v: JOURNAL OF LIFE ECONOMICS. 6:307-320

ÖZET Bulanık Zaman Serileri (BZS) yöntemleri, istatistiksel yöntemlerin aksine, hiçbir varsayım gerektirmemesi, az sayıda gözlemle çalışabilmesi, eksik, belirsiz ve dilsel veriyi işleyebilme yeteneğine sahip olması gibi avantajlarından

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d114908e4bcbab0366484823d2b7d3bc
https://doi.org/10.15637/jlecon.6.019

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Fuzzy panel data analysis

Autor: Muhammet Oğuzhan Yalçın, Serdar Demir, Nevin Güler Dincer

Publikováno v: Kuwait Journal of Science. 48

In statistical and econometric researches, three types of data are mostly used as cross-section, time series and panel data. Cross-section data are obtained by collecting the observations related to the same variables of many units at constant time.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0efbce95461a4a3cb4b3041303f7f5cd
https://doi.org/10.48129/kjs.v48i3.8810

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A Hybrid Time Series Prediction Model Based on Fuzzy Time Series and Maximal Overlap Discrete Wavelet Transform

Autor: Muhammet Oğuzhan Yalçın, Öznur Işçi Güneri, Nevin Güler Dincer

Publikováno v: Volume: 35, Issue: 3 1152-1169
Gazi University Journal of Science

This study proposes a new time series prediction method that combines Fuzzy Time Series (FTS) based on fuzzy clustering and Maximal Overlap Discrete Wavelet Transform (MODWT). Time series generally consist of subseries, each of which reflects the dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6f16cc9cb8f21dcec45697392ee40d0
https://dergipark.org.tr/tr/pub/gujs/issue/69473/798423

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A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model

Autor: Nevin Güler Dincer

Publikováno v: International Journal of Fuzzy Systems. 20:1872-1887

WOS: 000440171900012 This study proposes a new fuzzy time series model based on Fuzzy C-Regression Model clustering algorithm (FCRMF). There are two major superiorities of FCRMF in comparison with existing fuzzy time series model based on fuzzy clust

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae385f9974f879a440a0b70332c00f43
https://doi.org/10.1007/s40815-018-0497-0

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A new fuzzy time series model based on robust clustering for forecasting of air pollution

Autor: Özge Akkuş, Nevin Güler Dincer

Publikováno v: Ecological Informatics. 43:157-164

In this study, a new Fuzzy Time Series (FTS) model based on the Fuzzy K-Medoid (FKM) clustering algorithm is proposed in order to forecast air pollution. FTS models generally have some advantages when compared with other techniques used in forecastin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fea5a0e0ced7abf12accf77aa1517ca4
https://doi.org/10.1016/j.ecoinf.2017.12.001

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Model-based Selective Layer-centric Testing

Autor: Nevin Güler Dincer, Fevzi Belli, Tugkan Tuglular, Michael Linschulte

Publikováno v: Journal of Information Processing. 26:572-589

Model-based testing of large systems usually requires decomposition of the model into hierarchical submodels for generating test sequences, which fulfills the goals of module testing, but not those of system testing. System testing requires test sequ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc634de111328d59fbdeec28d0dc2f6c
https://doi.org/10.2197/ipsjjip.26.572

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Akademický článek

Nuclear Factor Erythroid 2-Related Factor (NRF2), Heme Oxygenase 1 (HO-1) and Total Oxidant-Antioxidant Status in Patients with COVID-19

Autor: Mehmet Çelik, Mehmet Reşat Ceylan, İsmail Koyuncu, Nevin Güler Dinçer, Sevil Alkan

Publikováno v: Iberoamerican Journal of Medicine, Vol 6, Iss 1, Pp 3-9 (2023)

Introduction: Studies on nuclear factor erythroid 2-related factor 2 (Nrf2) and heme oxygenase-1 (HO-1) levels in COVID-19 patients are limited. This study aimed to investigate the relationship between some biomarkers of oxidant-antioxidant status wi

Externí odkaz: https://doaj.org/article/9d172156db4644fe92f3cabe6856413e

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