İstatistik Bölümü
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Bağ Bilgisi Olduğunda Sıralı Küme Örneklemesinde Yeni Tahmin Ediciler
(Fen Bilimleri Enstitüsü, 2021)Ranked set sampling is a frequently used sampling method developed as an alternative to the simple random sampling. In this sampling method, rankers are expected to rank the units within the set correctly, even with ... -
Aykırı Değerler Varlığında Sınıflandırma Yöntemleri
(Fen Bilimleri Enstitüsü, 2023)In the field of data mining, the importance of classification techniques categorized under supervised learning is increasing with the constantly changing, diversifying and multiplying data. This variety in data creates the ... -
Biyomedikal Görüntülerin Sınıflandırılması için Yeni Bir Evrişimli Sinir Ağı Mimarisi
(Fen Bilimleri Enstitüsü, 2023)Convolutional neural networks (CNN) are a specialized version of deep learning and widely used among artificial intelligence algorithms recently. It can easily distinguish complex data such as biomedical images. In this ... -
Sağlam Kestiricilere Dayalı Varyans Analizi
(Fen Bilimleri Enstitüsü, 2023)Certain assumptions must be provided in the Analysis of Variance (ANOVA) calculated over sample means. If the assumptions are not met, the Analysis of Variance cannot fully reveal the real group differences, and in this ... -
RECURRENT NEURAL NETWORKS FOR COMPLEX SURVIVAL PROBLEMS
(Fen Bilimleri Enstitüsü, 2023)In this study, we introduce a novel deep learning technique (CmpXRnnSurv_AE) that obliterates the limitations imposed by traditional approaches and addresses the limitations of the existing deep learning systems to jointly ... -
Cox Regresyon Yönteminde Değişken Seçim Yöntemleri
(Fen Bilimleri Enstitüsü, 2022)In survival analysis, the Cox regression model is used to model the relationship between survival time and one or more covariates. When modeling, it is important to determine which covariates should or should not be included ... -
Basit rastgele örneklemede cevapsızlık durumunda kitle ortalaması için tahmin edici önerileri
(Fen Bilimleri Enstitüsü, 2022)There is an approach in which information about various variables in the estimators used for the estimation of unknown population parameters is fully obtained and there is no missing information. Despite this approach in ... -
Gözetim Videolarında Anomali Tespit Yöntemlerinin Karşılaştırmalı Bir Değerlendirmesi
(Fen Bilimleri Enstitüsü, 2022)The data generated by the camera needs to be analyzed for various reasons. The most important of these is for security reasons. Undesirable and rare events that occurs in videos are considered an anomaly. In recent years, ... -
Covid-19 Verileri İçin Bayes Ağları İle Makine Öğrenmesi
(Fen Bilimleri Enstitüsü, 2022)The Covid-19 pandemic emerged on November 17, 2019, in Wuhan Province of China. The outbreak was initially detected in those found in the seafood and animal market in this region. Later, it spread from person to person and ... -
Göreli Yaşam Çözümlemesi
(Fen Bilimleri Enstitüsü, 2022)In observational survival analysis studies with long follow-up periods, cause of death information may not be available or there may be some lack of information. In survival analysis, it may not be possible to directly ... -
Covid-19 Salgınının Borsa İstanbul’da İşlem Gören Bilişim Sektörü Şirketlerinin Finansal Performansına Etkisinin Veri Zarflama Analizi ile Değerlendirilmesi
(Fen Bilimleri Enstitüsü, 2022)Epidemic etc. changing conditions affect human as well as companies with legal entities that are based on human. This effect also affects the periodical data of the companies and the financial ratios obtained from these ... -
Seyahat Süresi Değişkenliğinin Analizi ve Yapay Sinir Ağları ile Seyahat Süresinin Tahmini
(Fen Bilimleri Enstitüsü, 2022)Analysis of travel times helps people determine their travel behavior. Knowing the variability and reliability of previous travel times when going from one place to another can make good use of time. In this study, the ... -
Farklı Sıralı Küme Örnekleme Yöntemlerine Dayalı Güvenilirlik Tahmini
(Fen Bilimleri Enstitüsü, 2022)In the literature, the system reliability R=P(Y<X) estimation, with X power and Y stress, is generally considered based on the simple random sampling (SRS) method. However, recent studies have proven that R estimation based ... -
Similar QA Pairs Detection System to Improve Chat Quality in Turkish Conversation Groups
(Fen Bilimleri Enstitüsü, 2022)Nowadays, social media applications have become one of our essential communication tools. These applications can be used to communicate individually or in groups. Retrieving information by processing the text data produced ... -
Suriyeli Göçmenlerin Türk Halkı ile Kaynaştırılması Çalışmaları Üzerine Veri Madenciliği Araştırması
(Fen Bilimleri Enstitüsü, 2020)Turkey is a country rather than immigration. Especially after the Syrian crisis, approximately 3.5 million Syrian had to migrate to our country. Syrian immigrants in our country have started to live together with the Turkish ... -
Yapay Sinir Ağları ve Regresyon Yöntemleri ile Hisse Senedi Getirilerinin Tahmini: Bist-30 Üzerine Bir Uygulama
(Fen Bilimleri Enstitüsü, 2021)With the rapid development of technology in the world in recent years, many innovations have emerged in the field of artificial intelligence. With these innovations, one of the most used areas of artificial intelligence ... -
Mekânsal Panel Veri Modelleri: Havacılık Sektöründe Bir Uygulama
(Fen Bilimleri Enstitüsü, 2021-01-25)When analyzing the data with geographical units (cities, countries, states, regions, etc.), it should be investigated whether neighboring units have spatial effects on each other. Because it is assumed that geographical ... -
Türkiye'deki İllerin Havayolu Taşımacılığına Yönelik Performanslarının Veri Zarflama ve Temel Bileşenler Analizi ile Değerlendirilmesi
(Fen Bilimleri Enstitüsü, 2021-02-24)In this study, the relationship between statistical indicators of provinces in Turkey and air transportation statistics will be examined. First of all, the statistics related to the provinces included in the TUIK Provincial ... -
İstatistiksel ve Makine Öğrenme ile Derin Sinir Ağlarında Hiper-Parametre Seçimi İçin Melez Yaklaşım
(Fen Bilimleri Enstitüsü, 2021-07-05)In the literature, a very important problem in deep neural networks is the determination of hyper-parameters. There are many combinations that can be tried for the selection of hyper-parameters to be used in data analysis. ... -
Budanmış Ortalamalar için Karşılaştırma Testleri
(Fen Bilimleri Enstitüsü, 2021)Statistical significance tests, such as Student’s t test, ANOVA-F test, are widely used in many disciplines, including medicine, psychology, and biology. For these tests to exact control over the rate of a Type I error, ...
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