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Now showing items 123-142 of 206

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    • National Practice In Antibiotic Prophylaxis In Breast Cancer Surgery 

      Eroglu, Aydan; Karasoy, Durdu; Kurt, Halil; Baskan, Semih (2014)
      Background Although breast cancer surgery is regarded as a “clean” surgery, surgical site infection (SSI) rates are higher than expected. There is no consensus regarding the use of antibiotic prophylaxis in elective breast ...
    • Nedensellik Analizi ve Gri İlişkisel Analiz İle Performans Sıralaması: G20 Ülkeleri Üzerine Bir Çalışma 

      Şimşek, Volkan (Fen Bilimleri Enstitüsü, 2018-11)
      In this thesis study, it is aimed to measure and rank the economic performances of countries by using the basic economic parameters specified in the study by using Gray Relational Analysis (GRA) method, which is one of the ...
    • Odd Burr Lindley Distribution With Properties And Applications 

      Altun, Gokcen; Alizadeh, Morad; Altun, Emrah; Ozel, Gamze (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 

      Abbas, Salman; Hameed, Mahjabeen; Cakmakyapan, Selen; Malik, Sarfraz Nawaz (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 

      Singh, G. N.; Suman, S.; Kadilar, Cem (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 

      Işık, Hatice (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 

      Dindaş, Zeliha (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 

      Al, Sibel (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 

      Öncel Çekim, Hatice (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 

      Akbulut, Gamze; Gezmen-Karadağ, Makbule; Ertaş, Yasemin; Uyar, Banugül Barut; Yassıbaş, Emine; Türközü, Duygu; Çelebi, Feride; Paşaoğlu, Özge Tuğçe; Toka, Onur; Yıldıran, Hilal; Şanlıer, Nevin; Köktürk, Nurdan (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 

      Yaman, Ilgım (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) 

      Can, Ceren Eda; Ergun, Gul; Gokceoglu, Candan (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 ...
    • Prevalence of Theileria Annulata and Babesia Bigemina in Cattle in The Vicinity of Sanliurfa 

      Sevgili, M; Cakmak, A; Gokcen, A; Altas, M.G; Ergun, G. (2010)
    • Rastgeleleştirilmiş Yanıt Modellerinde Oran ve Ortalama Tahmin Edicileri 

      Özgül, Nilgün (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 

      Egrioglu, Erol; Yolcu, Ufuk; Aladag, Cagdas Hakan; Bas, Eren (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 

      Marthin, Pius Sindiyo (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 

      Arslan, Neslihan (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 ...
    • Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling 

      Koyuncu, N. (2018)
    • Regresyon Süreksizliği Yönteminde Parametrik Olmayan Tahmin 

      Dindaş, Serdar (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 

      Kaman, Zeynep (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 ...
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