Browsing İstatistik Bölümü Tez Koleksiyonu by Funding "Yok"
Now showing items 1-20 of 45
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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 ... -
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 ... -
Bayesci grafik modelleri
(Fen Bilimleri Enstitüsü, 2001)Posterior distributions obtained by Bayesian approach usually have high dimensions when the models are rather complicated. Therefore, to reach the marjinal distributions from the models is analitically intractable. The aim ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
Çok Durumlu Modellerde Geçiş Olasılıklarının Tahmini
(Fen Bilimleri Enstitüsü, 2023-06)The time until an event occurs is examined in survival analysis. During the time that an individual or a unit under examination passes from the starting state to the final state, other situations may occur and transitions ... -
Doğrusal Karma Modelde Varyans Bileşenlerinin Sağlam Kestiriciler ile Tahmini
(Fen Bilimleri Enstitüsü, 2020)In this study, how to estimate the variance components of the linear mixed model with robust estimators is explained and an application is made on a real dataset. For this purpose, firstly, estimation methods of fixed, ... -
Eliptik Konturlu Dağılımlara Dayalı Çok Değişkenli Tekrarlı Ölçümlü Varyans Analizi
(Fen Bilimleri Enstitüsü, 2020)Repeated measures data describe multiple measurements taken from the same experimental unit under different treatment conditions. In particular, researches with repeated measures data in various fields such as health and ... -
Evrişimsel Sinir Ağları Kullanarak Sondaj Karot Sandıklarının İncelenmesi ve Tenör Tahmini
(Fen Bilimleri Enstitüsü, 2023)Mining companies have allocated approximately 10 billion USD for the exploration and investigation of new mines in 2018. Drilling has been a long-standing method for the exploration of underground mineral deposits. By using ... -
Ewma Control Charts For Skewed Dıstrıbutıons
(Fen Bilimleri Enstitüsü, 2020-09-30)The classic Shewhart control charts are generally used for monitoring the process mean and variability in the characteristics of a random quality variable of interest and are based on the normality assumptions. For skewed ... -
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 ... -
Gen Açıklama Verilerinin Sınıflandırılmasında Yeni Bir Özellik Seçimi Yöntemi
(Fen Bilimleri Enstitüsü, 2020)Emergence of DNA microarray datasets started up a crucial research subject for both bioinformatics and machine learning. This type of data is obtained from tissue or cell samples and used to collect information that may ... -
GENELLEŞTİRİLMİŞ TOPLAMSAL MODELLER İLE BITCOİN İÇİN YÖN ANALİZİ
(Fen Bilimleri Enstitüsü, 2024-05-15)Global economic uncertainties and rising inflation concerns have challenged the central role of traditional banking systems, limiting users' financial freedom. The emergence of Bitcoin and other cryptocurrencies has ... -
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 ... -
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, ... -
Graf-Tabanlı Öneri Sistemi Tasarımında Karşılaştırmalı Benzerlik Analizi
(Fen Bilimleri Enstitüsü, 2024-09)Recommendation systems are designed to enhance user experiences in digital environments by suggesting the most relevant products to users. These systems first emerged in the 1990s, and with the increasing use of online ... -
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. ...
