Browsing İstatistik Bölümü Tez Koleksiyonu by Language "tur"
Now showing items 1-20 of 82
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Aralıklı Durdurulmuş Veriler ile Yaşam Çözümlemesi
(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. ... -
Ardışık Olasılık Oran Testine Dayalı Kontrol Kartları
(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 ... -
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 Örnekleme Yönteminde Kitle Varyans Tahmin Edicilerinin Kitle Ortalamasının Güven Aralıklarında Kullanılması
(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. ... -
BASİT VE TABAKALI RASTGELE ÖRNEKLEMEDE ÜSTEL FONKSİYONU KULLANAN KİTLE ORTALAMASI TAHMİN EDİCİLERİ
(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
(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 ... -
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 ... -
Boylamsal ve Yaşam Verilerinin Parametrik Bileşik Modellemesi
(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
(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
(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 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 ... -
Çeşitli Tabakalı Sıralı Küme Örneklemesi Tasarımlarında Kitle Ortalamasının Tahmin Edilmesi
(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
(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", ... -
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 ... -
Destek Vektör Makineleri Üzerine Bir Çalışma
(Fen Bilimleri Enstitüsü, 2014)Support Vector Machines were introduced by Vladamir Vapnik in 1995 as a new-generation technique, learning from training set which is high-dimensional and whose sample size is much small, by creating and solving a quadratic ... -
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, ... -
Doğrusal Regresyonda Bozulma Noktasına Sahip Tahminler
(Fen Bilimleri Enstitüsü, 2017-01) -
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 ... -
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 ...