Browsing İstatistik Bölümü by Title
Now showing items 139-158 of 227
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Odd Burr Lindley Distribution With Properties And Applications
(Hacettepe Univ, Fac Sci, 2017)In this study, we introduce a new model called the Odd Burr Lindley distribution which extends the Lindley distribution and has increasing, bathtub and upside down shapes for the hazard rate function. It includes the odd ... -
On Gamma Inverse Weibull Distribution
(2019)The inverse Weibull distribution which was first introduced to investigate the decay of mechanical components is widely used in the field of biology, especially in the areas of survival and reliability analysis. In this ... -
On The Use Of Imputation Methods For Missing Data In Estimation Of Population Mean Under Two-Phase Sampling Design
(Hacettepe Univ, Fac Sci, 2018)Non-response is an unavoidable feature in sample surveys and it needs to be carefully handled to avoid the biased estimates of population characteristics/parameters. Imputation is one of the latest fascinating methods which ... -
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. ... -
Plasma Orexin-A and Ghrelin Levels in Patients with Chronic Obstructive Pulmonary Disease: Interaction with Nutritional Status and Body Composition
(2014)Orexin-A and ghrelin are two important polypeptides that stimulate food intake, however, there is a lack of sufficient information concerning their plasma levels in patients with chronic obstructive pulmonary disease (COPD). ... -
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 ... -
Prediction of Earthquake Hazard by Hidden Markov Model (Around Bilecik, Nw Turkey)
(Sciendo, 2014)Earthquakes are one of the most important natural hazards to be evaluated carefully in engineering projects, due to the severely damaging effects on human-life and human-made structures. The hazard of an earthquake is ... -
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 Multiplicative Neuron Model Artificial Neural Network for Non-Linear Time Series Forecasting
(Elsevier Science Bv, 2014)Artificial neural networks (ANN) have been widely used in recent years to model non-linear time series since ANN approach is a responsive method and does not require some assumptions such as normality or linearity. An ... -
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 ... -
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 ... -
Robust Model Selection Criteria For Robust S And Lts Estimators
(Hacettepe Univ, Fac Sci, 2016)Outliers and multi-collinearity often have large influence in the model/variable selection process in linear regression analysis. To investigate this combined problem of multi-collinearity and outliers, we studied and ...
