Tür "info:eu-repo/semantics/doctoralThesis" İstatistik Bölümü Tez Koleksiyonu için listeleme
Toplam kayıt 26, listelenen: 1-20
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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 ... -
Bağımsız Bileşenler Analizi ile Çoklu Bağlantı Sorununa Bir Yaklaşım
(Fen Bilimleri Enstitüsü, 2019-07-19)In the first part of the thesis, although it is a multivariate statistical method, Independent Components Analysis which is mostly used in the engineering field, which is not known much in statistics, has been discussed ... -
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 ... -
Bilgi Içeren Durdurma Varlığında Yinelemeli Olay Süreci
(Fen Bilimleri Enstitüsü, 2013)Informative censoring is an important issue which have to be taken into account while modelling recurrent event data. Informative censoring might happen as a result of terminal event such as death or drop out of individuals ... -
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 ... -
Bulanık Regresyon Analizinde Monte Carlo Yöntemi ve Uzman Sistemler
(Fen Bilimleri Enstitüsü, 2015)In this study, the use of fuzzy expert system in Monte Carlo method, which is used for estimating fuzzy linear regression model parameters, is proposed for determining the parameter intervals for the first time.For this ... -
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 ... -
Deneysel Dağılım Fonksiyonuna Dayalı Yeni Uyum İyiliği Testleri
(Fen Bilimleri Enstitüsü, 2018)Distributional assumptions are at the core of statistical methods. Goodness-of-fit test statistics are used to examine whether there is a difference between the sample distribution and the empirical distribution. Although ... -
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 ... -
Genelleştirilmiş Olasılık Dağılımları Üzerine Bir Çalışma
(Fen Bilimleri Enstitüsü, 2017)Numerous classical distributions are used in the modeling of acquired data in engineering, actuarial, environmental and medical sciences, demography, economics, finance, insurance, biological studies, life analysis and ... -
Gudermannian Kayıp Fonksiyonu ve GudermannianBoost İkili Sınıflandırma Yöntemi
(Fen Bilimleri Enstitüsü, 2016-12)In this study, a robust loss function and binary boosting classification method are proposed. The purpose of classification methods is to obtain classifier function with generalization ability, i.e., high prediction ... -
Karesel Olumsallık Tablolarında Düzey Ayırt Edilebilirliği ve Uyum
(Fen Bilimleri Enstitüsü, 2017)In square contingency tables, analysis of agreement between the row and column classifications is of interest. For nominal categories, kappa coefficient is used to summarize the degree of agreement between two raters. For ... -
Karesel Olumsallık Tablolarında Model Uyumunun Sapma Ölçüsü ile Belirlenmesi
(Fen Bilimleri Enstitüsü, 2018)The joint distribution of categorical variables is summarized by the contingency table. The R × R dimensional contingency tables in which the variables are cross classified according to the same criteria with the number ... -
Kedi Sürüsü Optimizasyonuna Dayalı Yeni Bir Bulanık Zaman Serisi Yaklaşımı
(Fen Bilimleri Enstitüsü, 2018)Since there are no theoretical constraints such as the model assumption and the number of observations, the importance of the preferred fuzzy time series instead of classical time series is day by day increasing in analysis ... -
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 ... -
Örnekleme Kuramında Yüzdelik Tahmin Edicileri
(Fen Bilimleri Enstitüsü, 2018)Economic variables can have extreme values and in this case, these extreme values have a very strong impact on the mean. In such cases, using median and quantiles is more convenient instead of using mean. In literature, ... -
ÖRNEKLEME YÖNTEMLERİNDE HARTLEY-ROSS TAHMİN EDİCİSİNE DAYALI YENİ TAHMİN EDİCİLER
(Fen Bilimleri Enstitüsü, 2017-04-03)In this thesis, we have used Hartley-Ross Method to obtain unbiased estimators. We have proposed the families of estimators based on Hartley-Ross estimators in both Simple Random Sampling and Stratified Random Sampling. ... -
Rastgeleleştirilmiş Yanıt Modellerinde Oran ve Ortalama Tahmin Edicileri
(Fen Bilimleri Enstitüsü, 2013)Randomized Response Models(RRM) are used to reduce nonrespondents rates andbiased responses arising from surveys on sensitive subjects such as gambling,alcoholism, sexual abuse, drug addiction, abortion, tax evasion, illegal ... -
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 ...