İstatistik Bölümü
Bu bölümdeki koleksiyonlar
Güncel Gönderiler
-
Kayıp Gözlem İçeren Olumsallık Tablolarında Log-Doğrusal Modeller
(Fen Bilimleri Enstitüsü, 2024)Missing value is the absence of a value in one or more cells in the data set. Missing values are frequently encountered in areas such as health, ecology, economics, and social sciences where it is difficult to obtain ... -
Uzun Süreli Verilerin Analizinde Kullanılan Makine Öğrenmesi Algoritmaları
(Fen Bilimleri Enstitüsü, 2024)Data obtained by tracking the same units over time and taking measurements repeatedly are called "longitudinal data”. Longitudinal data collected in fields such as medicine, psychology, sociology, environmental science, ... -
Yarı Parametrik Regresyon Modellerinde Tahmin Yöntemlerinin Karşılaştırılması: Üreme Sağlığı Alanında Bir Uygulama
(Fen Bilimleri Enstitüsü, 2024)This thesis aims to predict the number of oocytes obtained after ovulation induction in patients receiving IVF treatment with different prediction methods and to compare their predictive power. For this purpose, Generalized ... -
Genelleştirilmiş Toplamsal Modeller ile Bıtcoin için Yön Analizi
(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 ... -
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 ... -
Koşullu Otoregresif Mekânsal - Zamansal Modeller ile Yabancı Dil Sınavı Puanlarının İstatistiksel Analizi
(Fen Bilimleri Enstitüsü, 2024-05)Spatial-temporal data consist of observations occurring at a specific time or time period, with specific coordinate values and a specific geographic reference system for these coordinate values. The most important feature ... -
Yaşam Çözümlemesinde Alıcı İşlem Karakteristiği Eğrileri
(Fen Bilimleri Enstitüsü, 2024-06-27)The structure of life data includes life times and status indicating whether the event occurred. The basic assumption in survival analysis is that the event of interest will occur if the follow-up period is long. This ... -
Tabakalı Uç Sıralı Küme Örneklemesi Yönteminde Kitle Ortalamasının Kalibrasyon Tahmin Edicileri
(Fen Bilimleri Enstitüsü, 2024)Stratified simple random sampling is one of the most frequently used sampling techniques in research. However, in cases where the population is very large and it is difficult to measure the sample units, but it is easier ... -
Türkiye'de Meydana Gelen Uluslararası Göç Hareketlerinin İncelenmesi: Panel Veri İle Kümeleme Analizi
(Fen Bilimleri Enstitüsü, 2024)Due to its geographical location, our country continues to exist as one of the most advantageous migration routes for the societies it has lived on and its neighbors throughout history. Turkey, one of the countries with ... -
Makine Öğrenmesinde Değişken Seçim Yöntemlerinin Karşılaştırılması: Ev Enerjisi Tüketim Tahmini
(Fen Bilimleri Enstitüsü, 2024-07-01)In today's digital age, the amount of data generated is rapidly increasing due to ever-growing digital activities and technological advancements, paving the way for a new field of study known as "big data." The concept of ... -
Tip I Sağdan Sansürlü Weibull Dağılımına Sahip Süreçlerde Üstel Ağırlıklandırılmış Hareketli Ortalama Kontrol Grafikleri
(Fen Bilimleri Enstitüsü, 2024)The lifetime data commonly encountered today is a type of data associated with multiple fields such as production and health. Life span data, especially in the production sector, is of great importance in measuring the ... -
Makine Öğrenmesinde Kategorik Değişken Seçimi
(Fen Bilimleri Enstitüsü, 2024)Feature selection is a critical step in machine learning model development. It is recommended to perform feature selection before building any model. Feature selection processes significantly impact model performance by ... -
Makine Öğrenmesi Algoritmaları Kullanılarak Modem Verisi Üzerinden Müşteri Memnuniyetinin Tahmini
(Fen Bilimleri Enstitüsü, 2024-09)The KNIME Analytics Platform was used throughout all processes, including data transfer, parsing, and algorithm testing. Modem data was analyzed weekly, and download-upload data was categorized and evaluated across six ... -
Tümörlü Beyin Hücreleri Tespitinde Öğrenme Aktarımıyla Derin Sinir Ağlarının Uygulanması
(Fen Bilimleri Enstitüsü, 2023-07-14)This thesis examines the effectiveness and applicability of deep learning models in medical image analysis. Specifically, it focuses on the classification of magnetic resonance images (MRI) containing tumors of various ... -
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 ... -
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 ... -
Makine Öğrenme Yaklaşımlarının Biyoinformatikte İlaç Geliştirme Probleminde Kullanılması
(Fen Bilimleri Enstitüsü, 2023)Humans are at the center of the drug research and development process. It is aimed to help the patient overcome his illness and improve his quality of life. In the drug development process, innovative drugs are aimed ... -
Genetik Algoritma ve K-Ortalamalar Algoritmasının Tavsiye Sistemleri İçin Uygulanması
(Fen Bilimleri Enstitüsü, 2023)As there is an increasing emphasis on customer satisfaction, businesses are aiming to discover their customers' interests and preferences. Therefore, providing suitable products or services is crucial in today's competitive ... -
Birinci Dereceden Tam Sayı Değerli Otoregresyon Modellerinin İncelenmesi
(Fen Bilimleri Enstitüsü, 2023)The Poisson distribution is often used for the distribution of errors in integer-valued autoregressive models. However, the mean of the distribution is equal to its variance and is suitable for equally distributed series. ... -
Kopula Fonksiyonları ve Kripto Para Birimlerine Bir Uygulama
(Fen Bilimleri Enstitüsü, 2023)Cryptocurrency that we hear frequently today first entered our lives in 2009 with Bitcoin. While cryptocurrencies are highly volatile, their risk levels are mostly unknown. It is important for investors to know the risk ...
RSS 1.0