İstatistik Bölümü Tez Koleksiyonu
Güncel Gönderiler
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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, ... -
Tıp Bilişiminde Veri Madenciliği Yöntemleri Kullanılarak Hastalıkların Tahmin Edilmesitıp Bilişiminde Veri Madenciliği Yöntemleri Kullanılarak Hastalıkların Tahmin Edilmesi
(Fen Bilimleri Enstitüsü, 2020)Nowadays, Data Mining is an increasingly important tool, especially in the administration of healthcare enterprises and in determining health-related policies, as it provides support for the decision-making processes of ... -
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 ... -
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 ... -
Yinelemeli Sinir Ağları ile Finansal Veri Tahmini
(Fen Bilimleri Enstitüsü, 2020-08)Recurrent Neural Network is an artificial neural network model which the outputs are re-included to network input in every iteration. The biggest advantage of recurrent neural networks is that they consider the variation ... -
Ölçüm Hatalı Açıklayıcı Değişkenli Cox Regresyon Modeline Bayesci Yaklaşım
(Fen Bilimleri Enstitüsü, 2020)The Cox regression model with the measurement error covariate can cause an important bias when estimating coefficients by maximizing the known partial likelihood function. In this case, alternative estimation methods have ... -
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 ... -
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 ...
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