Advanced Statistical Modeling Techniques

One of the defining characteristics of contemporary scientific research is the increasing integration of multiple disciplines to address complex scientific and societal challenges. Modern problems are inherently multidimensional and often extend beyond the boundaries of a single field of study. Consequently, interdisc…

Structural Equation Modeling (SEM) is commonly used to examine relationships among latent variables, but it relies on strong assumptions such as normality of error terms and focuses solely on mean effects. These assumptions are not always met in practice. In contrast, Quantile Structural Equation Modeling (QSEM) does…

Meme kanseri, dünya genelinde kadınlar arasında en sık görülen ve erken teşhis edilmediğinde ölüm riski yüksek olan önemli sağlık problemlerinden biridir. Günümüzde biyomedikal verilerin artmasıyla birlikte makine öğrenmesi tabanlı bilgisayar destekli teşhis sistemleri hastalıkların erken tanısında yaygın olarak kulla…

Hyper-parameter optimization in artificial neural networks (ANNs) is a computationally costly process that requires multiple trials to determine a feasible configuration. In this study, we propose a novel approach in which an independent external neural network is used to predict the performance and evaluate the feasi…

No abstract yet.

Statistical methods and data analysis provide the fundamental basis for generating, evaluating, and interpreting scientific knowledge. Today, nearly every research field—from health sciences and engineering to agriculture, economics, education, and the social sciences—depends on the accurate analysis of rapidly expand…

The use of neural networks for testing random number generators has been proposed as a potentially better alternative to traditional test suites such as National Institute of Standards and Technology Special Publications (NIST SP) 800-22. This paper presents a negative result, demonstrating through both theoretical an…

• OĞUZHAN DURMUŞ

This study aims to compare observed groups and latent classes, derived from mixture models, in terms of the number of items displaying differential item functioning (DIF) and their corresponding effect size levels. It also seeks to investigate the nature of DIF, utilizing it as a tool for collecting validity evidence…

• ÖMER DOĞAN

No abstract yet.

• GAMZE ÇİMEN
• SADULLAH ÇELİK

Classical canonical correlation analysis becomes numerically unstable when the number of variables is large relative to the sample size and is sensitive to contamination in observations or individual cells. This study develops an integrated robust and regularized procedure that combines bounded cellwise wrapping, shri…

• HASAN BULUT
• VEDAT SAĞLAM

In response to the evolving demands of the globalized construction industry and the recognized gap between academic training and real-world requirements, this study investigates the contemporary competency landscape for modern civil engineers. Utilizing the Turkish construction industry, which is a prominent global pl…

• VOLKAN ARSLAN

With the rapid advancement of quantum technologies, quantum key distribution (QKD) has become a key approach to secure communication. This study presents a software-only implementation of the BB84 QKD protocol developed in Python using IBM’s Qiskit Aer simulator. The proposed framework is designed for educational and…

• MERT BÜYÜKDEDE