Browsing İstatistik Bölümü Tez Koleksiyonu by Title
Now showing items 46-65 of 91
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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 ... -
Ölçüm Sistemleri Analizinde Varyans Bileşenlerinin Tahminleri
(Fen Bilimleri Enstitüsü, 2018)In this thesis study, using the ANOVA, Maximum Likelihood Estimation (ML), Restricted Maximum Likelihood Estimation (REML) and Minimum Norm Quadratic Estimation (MINQUE) methods, how to apply these estimates to the Measurement ... -
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. ... -
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 ... -
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 ... -
REGRESSION DISCONTINUITY DESIGN: AN APPLICATION IN ECONOMICS
(Fen Bilimleri Enstitüsü, 2017)Regression Discontinuity Design (RDD) is developed as an alternative to ex-post facto experiments. It is an approach causally estimating treatment effects in non-experimental designs. The Regression Discontinuity Methodology ... -
Regresyon Süreksizliği Yönteminde Parametrik Olmayan Tahmin
(Fen Bilimleri Enstitüsü, 2018)Regression discontinuity is a quasi-experimental impact evaluation method of assessment which is used in cases where control and effect groups can not be generated before the implementation of the program. In this method, ... -
Risk Analizinde Bulanık Mantığın Kullanılmasına Yönelik Bir Uygulama Çalışması
(Fen Bilimleri Enstitüsü, 2018)In order to be able to produce solutions to the problems we face in our daily lives, researchers are trying to transfer the focused processes to analysis systems as realistically as possible. The success of implementation ... -
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 ... -
Sayma Verisi İçin Regresyon Modelleri Ve Bir Uygulama
(Fen Bilimleri Enstitüsü, 2018)Regression analysis is used to measure the relationship between a dependent variable and one or more explanatory variables. When the dependent variables consist of discrete non-negative values, the use of counting 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 -
Suriyeli Göçmenlerin Türk Halkı ile Kaynaştırılması Çalışmaları Üzerine Veri Madenciliği Araştırması
(Fen Bilimleri Enstitüsü, 2020)Turkey is a country rather than immigration. Especially after the Syrian crisis, approximately 3.5 million Syrian had to migrate to our country. Syrian immigrants in our country have started to live together with the Turkish ... -
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 ... -
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 ... -
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 ... -
Tabu Arama Algoritmasının Kuyruk Problemine Uygulanması
(Fen Bilimleri Enstitüsü, 2015)Many people buy their vital need for living from a supermarket and they wait in checkout queues. In retail market, management of checkout queue lenght is very important for minimize payroll expences and maximize customer ... -
Teknoloji Geliştirme Bölgelerinin İstatistiksel Yöntemler ile Etkinlik Değerlendirilmesi
(Fen Bilimleri Enstitüsü, 2019)With the increase of awareness on science and technology policies, the resources that are allocated to R&D and innovation all over the world are expanding day by day. When targets of 2023 are taken into consideration, ... -
THE IMPORTANCE OF FAT-TAILED AND SKEWED DISTRIBUTIONS IN MODELING VALUE-AT-RISK
(Fen Bilimleri Enstitüsü, 2018)Most of the Value-at-Risk models assume that financial returns are normally distributed, despite the fact that they are commonly known to be left skewed, fat-tailed and excess kurtosis. Forecasting Value-at-Risk with ... -
THE IMPORTANCE OF FAT-TAILED AND SKEWED DISTRIBUTIONS IN MODELING VALUE-AT-RISK
(Fen Bilimleri Enstitüsü, 2018)Most of the Value-at-Risk models assume that financial returns are normally distributed, despite the fact that they are commonly known to be left skewed, fat-tailed and excess kurtosis. Forecasting Value-at-Risk with ...
