Department of Statistics, Thesis

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Thesis (168)

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Yes (149)
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Author
Balcı, Sibel (2)
İnan, Gül (2)
Ortakaya, Ahmet Fatih (2)
Sazak, Hakan Savaş (2)
Selçuk, Ayşe Sevtap (2)

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

Date Issued
1978 - 1979 (3)
1980 - 1989 (20)
1990 - 1999 (37)
2000 - 2009 (35)
2010 - 2020 (73)

Recent Submissions

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...
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...
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...
A comparative study of classical and machine learning approaches for time series forecasting: an empirical analysis on exports in Turkey
Günel, Eda; Yozgatlıgil, Ceylan; Department of Statistics (2019)
Exports has become one of the main economic indicator for countries. Accordingly, an accurate forecasting for exports is an important step for decision making and finding the most appropriate forecasting model constitutes ...
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 ...
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...
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...
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...
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 ...
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...
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...
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...
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...
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...
A generalized correlated random walk approximation to fractional brownian motion
Coşkun, Buket; Vardar Acar, Ceren; Department of Statistics (2018)
The application of fractional Brownian Motion (fBm) has drawn a lot of attention in a large number of areas, ranging from mathematical finance to engineering. The feature of long range dependency limited due to the value o...
Performance of ensemble forecasting tools for analysis Turkish consumer price index
Aydemir, Petek; Yozgatlıgil, Ceylan; Department of Statistics (2018)
Major challenge in time series analysis is to get reasonably accurate forecasts of the future data from the analysis of the previous records. Accurate forecasting of inflation has great importance in the market economies, ...
Random effects’ distribution assumption on joint mixed modelling
Özdemir, Celal Oğuz; Kalaylıoğlu Akyıldız, Zeynep Işıl; Department of Statistics (2018)
Joint mixed model is an appealing approach in medical research where it is critical to estimate the odds of a fatal complication that occurs to a patient given the covariate profile such as a risk factor observed over time...
A Closer look to Turkish students' scientific literacy: what do pisa 2015 results tell us?
Demirci, Sinem; İlk Dağ, Özlem; Department of Statistics (2018)
PISA is one of the international large-scale surveys to assess the level of knowledge and skills of the 15-year-old students. In PISA 2015, the main theme was scientific literacy. Correspondingly, this study aims to determ...
Mixture of vines for dependence modeling: finite mixture and CD-vine approaches with applications
Evkaya, Ömer Ozan; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe; Department of Statistics (2018)
Recently, there has been an increasing interest on the combination of copulas with a finite mixture model. By a finite mixture, a suitable weighted sum of a parametric densities are tied together in a probabilistic manner....
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