Department of Statistics, Thesis

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Thesis (174)

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Author
Balcı, Sibel (2)
Boğazlıyan, Metin (2)
İnan, Gül (2)
Ortakaya, Ahmet Fatih (2)
Sazak, Hakan Savaş (2)

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Statistics. (24)
Time-series analysis. (12)
Regression analysis. (9)
Mathematical statistics. (6)
Biometry. (5)

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1980 - 1989 (20)
1990 - 1999 (37)
2000 - 2009 (35)
2010 - 2019 (72)
2020 - 2021 (7)

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Master Thesis (143)
Ph.D. Thesis (31)

Recent Submissions

Implementation of different algorithms in linear mixed models: case studies with TIMSS Koca, Burcu; Gökalp Yavuz, Fulya; Department of Statistics (2021-9-06) Mixed models are frequently used in longitudinal data types with time repetition over the same subject and clustered data types formed by observations gathered around certain groups. The modeling technique which models the...
Adapting a Robust Model into Hybrid Implementations of Machine Learning Algorithms and Statistical Methods for Longitudinal Data Erduran, İbrahim Hakkı; Gökalp Yavuz, Fulya; Ebegil, Meral; Department of Statistics (2021-9) Data structures in which the same characteristics are measured repeatedly at different time points are counted among the longitudinal data types. These datasets require the use of advanced modeling techniques because of th...
Yakamoz and Sunshine: Two novel time series anomaly detection methods Boğazlıyan, Metin; Yozgatlıgil, Ceylan; Department of Statistics (2021-6) In modern society, availability and reliability of data have become crucial. Hence, one important task for a variety of fields is to detect abnormal instances in data. One of the objectives of identification of anomalies i...
Longitudinal models for life expectancy at birth in Turkey Asker, Özlem; İlk Dağ, Özlem; Department of Statistics (2021-1-15) World Health Organization (WHO) gives the definition of life expectancy at birth as ―the average number of years that a newborn is expected to live if current mortality rates continue to apply‖. Life expectancy at birth is...
Bayesian model pooling for the analysis of generalized linear models with missing-not-at-random covariates Çiftçi, Sezgin; Kalaylıoğlu Akyıldız, Zeynep Işıl; Department of Statistics (2020-9) Missing data in modeling is one of the main problems of researchers. If the missingness mechanism is related to the value of the variable itself, then the missing is defined as not-at-random (MNAR). Additionally, finding t...
Data mining analysis of economic indicators of countries Güngör, Erdem; Yozgatlıgil, Ceylan; Department of Statistics (2020-8) Data Mining is becoming a famous analysis day by day to reveal the hidden information within big data. In the study, we use data mining techniques on the economic indicators of the countries. The four data mining technique...
Graphical models in inference of biological networks Farnoudkia, Hajar; Purutçuoğlu Gazi, Vilda; Department of Statistics (2020) In recent years, particularly, on the studies about the complex system’s diseases, better understanding the biological systems and observing how the system’s behaviors, which are affected by the treatment or similar condit...
Multi-hazard reliability of electric power transmission networks with spatially correlated components Altay, Umut; Dener Akkaya, Ayşen.; Department of Statistics (2019) Many network systems such as, gas and water pipelines, power transmission and distribution systems, highways and communication systems extend spatially over large geographical regions. Such network systems are composed of ...
Micro-level analysis of unregistered employment in Turkey with group comparisons İner, Mehmet; Akkaya, Ayşen D.; Department of Statistics (2019) Group comparison of logistic regression models in a similar way with OLS is manipulating depending on the unobserved heterogeneity in logistic regression. In this sense, this study focuses on the group comparison problem i...
Parameter estimation in merton jump diffusion model Özdemir, Tuğcan Adem; Vardar Acar, Ceren; Department of Statistics (2019) Over the years, jump diffusion models become more and more important. They areused for many purposes in several branches such as economics, biology, chemistry,physics, and social sciences. The reason for prevalent usage ...
Modelling and forecasting age-segmented mortality: evaluation of lLe-Carter method and its extensions Alşan Kılıç, Raife Sıda; Sürücü, Barış; Department of Statistics (2019) Mortality dynamics deal with the human mortality from birth to death giving insights for the population in different aspects; age, year, gender and enable to ascertain crucial mortality trends as well. Over the last decade...
Inference of large-scale networks via statistical approaches Ayyıldız Demirci, Ezgi; Purutçuoğlu Gazi, Vilda; Department of Statistics (2019) In system biology, the interactions between components such as genes, proteins, can be represented by a network. To understand the molecular mechanism of complex biological systems, construction of their networks plays a c...
Novel model selection criteria on high dimensionalbiological networks Bülbül, Gül Baha; Purutçuoğlu Gazi, Vilda; Department of Statistics (2019) Gaussian graphical model (GGM) is an useful tool to describe the undirected associ-ations among the genes in the sparse biological network. To infer such high dimen-sional biological networks, thel1-penalized maximum-like...
Performance comparison of filtering methods on modelling and forecasting total precipitation amount Ünal, Ecem; Yozgatlıgil, Ceylan; Department of Statistics (2019) The performance of condensed water vapour in the atmosphere observed as precipitation on the earth surface with the consequence of gravity. It is hard to observe and measure the amount and concentration of total precipitat...
Mean homogeneity tests under the violation of the assumptions Sakmar, Elçin; Kalaylıoğlı, Zeynep Işıl,; Department of Statistics (2019) In social, educational and health sciences, obtained data are generally non-normal and heterogeneous although many methods expect one or more assumptions to be satisfied. However, there is still a need for an extensive Mon...
Adaptive inference of autoregressive models under nonnormality Yentür, Begüm; Dener Akkaya, Ayşen.; Department of Statistics (2019) Recently, non-normal innovations in autoregressive models have become prevalent in many applications. In this case, it is known that the least squares (LS) estimators are neither efficient nor robust. Also, obtaining maxim...
Modeling longitudinal interruption data from Turkish electricity distribution companies Korkmaz, Zülfiye Ebru; İlk Dağ, Özlem; Department of Statistics (2019) In recent years, many developments have been implemented by the players of the sector to provide sustainable energy flow in Turkey. One of them is the obligation of recording electricity interruption statistics. The Turkis...
Model comparison for gynecological cancer datasets and selection of threshold value Bahçivancı, Başak; Purutçuoğlu Gazi, Vilda; Department of Statistics (2019) Cancer is a very common system’s disease with its structural and functional complexities caused by high dimension and serious correlation of genes as well as sparsity of gene interactions. Hereby, different mathematical mo...
Multi-criteria decision making in site selection for nuclear power plants Tuncer, Berna; Dener Akkaya, Ayşen.; Department of Statistics (2019) Nuclear energy is an important alternative energy source. However the construction of nuclear power plants (NPP) requires the consideration of various factors, such as environmental, economic, socioeconomic, health and saf...
Various parameter estimation techniques for stochastic differential equations Ergişi, Semi; Vardar Acar, Ceren; Department of Statistics (2019) Dynamic systems appear in many fields from economics to physics, from biology toengineering include randomness. Therefore, stochastic differential equations are oneof the necessary mathematical tools to model dynamic syste...

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