Dependence by directional statistics

Yapar, Güçkan


Statistical modelling of financial statements of Turkey: a panel data analysis
Akınç, Deniz; İlk Dağ, Özlem; Department of Statistics (2008)
Financial failure is an important subject for both the economical development of the country and for the self - evaluation of individual companies. Increase in the number of financially failed companies points out the misuse of the country resources. Recently, financial failure threatens both small and large companies in Turkey. It is important to determine factors that affect the financial failure by analyzing models and to use these models for auditing the financial situation. In today’s Turkey, the stati...
Metamodeling complex systems using linear and nonlinear regression methods
Kartal, Elçin; Batmaz, İnci; Department of Statistics (2007)
Metamodeling is a very popular approach for the approximation of complex systems. Metamodeling techniques can be categorized according to the type of regression method employed as linear and nonlinear models. The Response Surface Methodology (RSM) is an example of linear regression. In classical RSM metamodels, parameters are estimated using the Least Squares (LS) Method. Robust regression techniques, such as Least Absolute Deviation (LAD) and M-regression, are also considered in this study due to the outli...
Estimation of response errors in complex sample surveys
Fahmi, Fidan Mahmut; Öztaş, H. Ayhan; Batmaz, İnci; Department of Statistics (2013)
In this thesis, simple and correlated response errors are investigated. The optimum interviewer allocation settings has been investigated by using different experimental design models (Nested design, Nested and factorial factors design and Split plot design). The proposed designs considers several stages of an interactive process. Several linear and multiplicative models have been used to explain the factors effecting nonsampling errors. This naturally includes response error models. The response error mode...
Application of subspace clustering to scalable malware clustering
Işıktaş, Fatih; Betin Can, Aysu; Department of Information Systems (2019)
In recent years, massive proliferation of malware variants has made it necessary to employ sophisticated clustering techniques in malware analysis. Choosing an appropriate clustering approach is very important especially for rapidly and accurately mining clustering information from a large malware set with high number of attributes. In this study, we propose a clustering method that is based on subspace clustering and graph matching techniques and presents an enhanced clustering ability and scalable runtime...
Adaptive estimation and hypothesis testing methods
Dönmez, Ayça; Tiku, Moti Lal; Department of Statistics (2010)
For statistical estimation of population parameters, Fisher’s maximum likelihood estimators (MLEs) are commonly used. They are consistent, unbiased and efficient, at any rate for large n. In most situations, however, MLEs are elusive because of computational difficulties. To alleviate these difficulties, Tiku’s modified maximum likelihood estimators (MMLEs) are used. They are explicit functions of sample observations and easy to compute. They are asymptotically equivalent to MLEs and, for small n, are equal...
Citation Formats
G. Yapar, “Dependence by directional statistics,” Ph.D. - Doctoral Program, Middle East Technical University, 1996.