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Browsing İstatistik Bölümü Tez Koleksiyonu by Title

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Now showing items 1-20 of 104

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    • Aralıklı Durdurulmuş Veriler ile Yaşam Çözümlemesi 

      Eröz, İlknur (Fen Bilimleri Enstitüsü, 2019)
      Censoring is the most important feature that distinguishes survival analysis from other statistical methods. Censored observation means incomplete observation and provides partial information about the time of failure. ...
    • ARDL Model Bounds Test Approach: The Case of Turkey 

      Özcan, Burcu (Fen Bilimleri Enstitüsü, 2017)
      In the econometric literature, ARDL bounds testing approach proposed by Pesaran and Shin [16], improved Pesaran et al. [17], and Toda-Yamamoto causality procedures [12] are widely used in empirical analysis because the ...
    • Ardışık Olasılık Oran Testine Dayalı Kontrol Kartları 

      Erkek, Dilşad (Fen Bilimleri Enstitüsü, 2013)
      In statistical process controls, control cards are very important tools for testing statistically if the process is in control or not and evaluating the production process. Sequential probability test is a well-known method ...
    • Aykırı Değerler Varlığında Sınıflandırma Yöntemleri 

      Aşlar Kırmızı, Cemile (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 ...
    • Bağımsız Bileşenler Analizi ile Çoklu Bağlantı Sorununa Bir Yaklaşım 

      Bursa, Nurbanu (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 Örnekleme Yönteminde Kitle Varyans Tahmin Edicilerinin Kitle Ortalamasının Güven Aralıklarında Kullanılması 

      Özkan, Ekin Gözde (Fen Bilimleri Enstitüsü, 2018-07)
      In this study, some variance estimators in simple random sampling method have been investigated. These estimators have been proposed to use in the estimation of confidence intervals of the population mean in this study. ...
    • Basit rastgele örneklemede cevapsızlık durumunda kitle ortalaması için tahmin edici önerileri 

      Ünal Akdeniz, Ceren (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 ...
    • BASİT VE TABAKALI RASTGELE ÖRNEKLEMEDE ÜSTEL FONKSİYONU KULLANAN KİTLE ORTALAMASI TAHMİN EDİCİLERİ 

      Ünal, Ceren (Fen Bilimleri Enstitüsü, 2017-06-14)
      In this study, we investigated estimators with exponential functions for estimation of mean estimator in simple and stratified random samplings. Family of estimators based on the exponential function is proposed for both ...
    • Bayesci grafik modelleri 

      Tuğrul, Özgür (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 ...
    • Bazı Makroekonomik Göstergelerle Tüketici Fiyat Endeksi Arasındaki İlişkinin İncelenmesi: Türkiye Örneği 

      Tekin, Ümmü Selin (Fen Bilimleri Enstitüsü, 2019)
      In this study, the relationships between the important indicators of Turkey's economy, such as the consumer price index, the domestic producer price index, the retail sales volume index and the industrial production index ...
    • Bilgi Içeren Durdurma Varlığında Yinelemeli Olay Süreci 

      Ünlü, Hande (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 

      Özaltın, Öznur (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 ...
    • Boylamsal ve Yaşam Verilerinin Parametrik Bileşik Modellemesi 

      Dil , Elif (Fen Bilimleri Enstitüsü, 2019)
      Longitudinal data consist of repeated measurements obtained from the same units at certain time intervals, while survival data consists of time until the occurrence of any event under consideration. There are different ...
    • Budanmış Ortalamalar için Karşılaştırma Testleri 

      İşler, Gözde (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, ...
    • Bulanık Regresyon Analizinde Monte Carlo Yöntemi ve Uzman Sistemler 

      Içen, Duygu (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 ...
    • Covid-19 Salgınının Borsa İstanbul’da İşlem Gören Bilişim Sektörü Şirketlerinin Finansal Performansına Etkisinin Veri Zarflama Analizi ile Değerlendirilmesi 

      Eryiğit, Merve (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 

      Yılmaz, Hüseyin Can (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 

      Akbaba, Pınar (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 ...
    • Çeşitli Tabakalı Sıralı Küme Örneklemesi Tasarımlarında Kitle Ortalamasının Tahmin Edilmesi 

      Doğru, Arzu Ece (Fen Bilimleri Enstitüsü, 2017-06-02)
      Ranked Set Sampling is used when taking exact measurement of sampling units is difficult but ranking is easy. Stratified sampling is a sampling method when the population is heterogeneous. In this thesis, the classical, ...
    • Değişen Katsayılı Regresyon Modeli İle Gebelerin Ortalama Arteriyel Kan Basıncına Etki Eden Risk Faktörlerinin Belirlenmesi 

      Durmuş, Işıl (Fen Bilimleri Enstitüsü, 2018-09-25)
      Varying Coefficient Models are used to reveal properties of multidimensional data among nonparametric regression models. Since these models allow the coefficients to change over the variable called the "index variable", ...
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