Yayın tarihi için İstatistik Bölümü Tez Koleksiyonu listeleme
Toplam kayıt 124, listelenen: 1-20
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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 ... -
Uzun Süreli Çalışmalarda Ma(1) ve Arma(1,1) Otokorelasyonlu Hatalara Sahip Doğrusal Karma Etkiler Modelleri için Örneklem Büyüklüğünün Belirlenmesi
(Fen Bilimleri Enstitüsü, 2012)The aim of the study is to determine sample sizes for the number of subjects and the number of repeated measures for a Linear Mixed Effects Model (LMM) with random intercept and slope in the analysis of longitudinal data ... -
Sonradan Tabakalamalı Örnekleme Yönteminde Rastgeleleştirilmiş Cevap Modelleri
(Fen Bilimleri Enstitüsü, 2012)Inthis thesis, randomized response models' (R.R.) applicability, is shown with post-stratification m -
Yarı Parametrik Regresyon Modelinde Etkili Gözlem Analizi
(Fen Bilimleri Enstitüsü, 2012)The aim of thesis is to develope diagnostics, used to detect influential observations in linear regression model, for semiparametric regression model and examine whether the developed diagnostics are successful or not in ... -
Sıralanabilir Karesel Olumsallık Tablolarında Uyum Parametresi İçeren İlişki Modelleri
(Fen Bilimleri Enstitüsü, 2013)Kappa coefficient is the most popular measure for summarizing degree of agreement between variables in square tables. However, kappa has some unsufficient features for summarizing the tables by a single number. Hence, the ... -
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 ... -
Ülkelerin Uzun Dönem Kredi Notlarının Derecelendirilmesinde Önemli Değişkenlerin Veri Madenciliği Teknikleri Kullanılarak Belirlenmesi
(Fen Bilimleri Enstitüsü, 2013)Developments in all areas of life, following the advancements in technology, has caused the people to face new and complex problems, therefore increasing the need for information and data. In order to utilize increasing ... -
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 ... -
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 ... -
Yaşam Verilerinin Meta Analizi
(Fen Bilimleri Enstitüsü, 2013)Nowadays, with the increasing number of studies, it is conferred that many studies conducted with different samples on the same topic, have different results from each other. Meta analysis is the statistical method which ... -
Markov Zinciri Monte Carlo Yönteminin Dinamik Doğrusal Modellere Uygulanması
(Fen Bilimleri Enstitüsü, 2013)This study deals with implementing three different types of dynamic linear models using dlm package in R. These models are the steady model, the linear growth model and the combined model as a second order polynomial model ... -
Kredi Temerrüt Takası Primleri İle Çeşitli Ekonomik Göstergeler Arasındaki İlişkiler
(Fen Bilimleri Enstitüsü, 2013)Determining the economic variables that affect credit default swap spreads which are known as indicator of country risk and modelling these spreadss have great importance in terms of financial world. In this study, after ... -
Uygunluk Analizinde Logaritmik Doğrusal Modellerin Kullanımı: Televizyon İzleme Eğilimleri Üzerine Bir Uygulama
(Fen Bilimleri Enstitüsü, 2014)One of the methods used for analyzing categorical variables arranged in contingency tables is correspondence analysis. Correspondence analysis is named as multiple correspondence analysis for three and higher dimensional ... -
Genel Etkili Homojen Poısson Süreçlerine Dayanan Bağımlı Birleşik Poısson Süreçleri
(Fen Bilimleri Enstitüsü, 2014)A common shock Poisson process is used to model dependent event frequencies. In this process, a shock may be a big car accident, a particular hurricane, a medical mistake with consequences in a hospital. The common shock ... -
Tabakalı Rastgele Örneklemede Örneklem Büyüklüklerinin Genetik Algoritma İle Belirlenmesi
(Fen Bilimleri Enstitüsü, 2014)The studies done by researchers about solving optimization problems date back to a long time ago. Especially, in recent years, some scientists working on the field of optimization have tended to systems exist in nature to ... -
Portföy Optimizasyonunda Değiştirilmiş Parçacık Sürü Optimizasyonu Yaklaşımı
(Fen Bilimleri Enstitüsü, 2014)One of the most studied problem in optimization world is portfolio selection problem which is based on knapsack problems. Portfolio optimization is a NP-hard problem. Because of that heuristic methods are preferred solving ... -
Sıralı Küme Örneklemesi Yöntemi ve Ormancılıkta Bir Uygulama
(Fen Bilimleri Enstitüsü, 2014)The purpose of this study is to reveal the effect of using the ranked set samplingas an alternative sampling method while arranging hard-held forest managementplans in our country will effect the outcomes and to present ... -
Yaşam Çözümlemesinde Aykırı Değerler
(Fen Bilimleri Enstitüsü, 2014)Survival analysis is a collection of statistical methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest. Outliers are the individuals whose survival time is not ... -
Sağlam Kısmi En Küçük Kareler Regresyonu
(Fen Bilimleri Enstitüsü, 2014)Partial Least Squares Regression (PLSR) method is a Latent Variables (LVs) regression method. Therefore, in this method, firstly, a set of unrelated LVs is predicted and then, the relationship of these LVs with dependent ... -
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 ...
