Dr. Zakiyeva Nazgul obtained her Ph.D. degree in Statistics at the National University of Singapore in 2020, and received a bachelor's degree in Mathematics from Nazarbayev University in 2016. Currently, she is a postdoctoral researcher at Technical University in Berlin. She was awarded with Marie Skłodowska-Curie European Postdoctoral Fellowship in 2022.
Furthermore, we underscore the limited relevance of factors like the number of references and coauthors, emphasizing the pivotal role of subject matter in shaping scientific impact. Our research contributes valuable insights into redefining the landscape of research impact assessment, ultimately reshaping the way we evaluate scientific excellence."mber of references and coauthors are less relevant to scientific impact, but subjects do make a difference."
Dr. Kazim Erdogdu After completing his BSc. degree in the Computer Sciences division of Ege University's Department of Mathematics, he went on to get his MSc. degree in Geometry at the Department of Mathematics of Ege University's Graduate Faculty of Natural and Applied Science. He earned his PhD from Yaşar University's Graduate School's Department of Computer Engineering. After six years of working as an adjunct professor at Ege University's vocational schools and Yaşar University's undergraduate programs, he was hired as a full-time faculty member in the Department of Software Engineer in 2019. In 2021, he was appointed Assistant Professor (Ph.D.) at Yaşar University, where he continues to teach both undergraduate and graduate students. He has authored publications for national and international journals that are included in the SCI-E, Scopus, and TR-Dizin indices. He worked on TÜBİTAK and BAP projects. Combinatorial optimization, multi-objective optimization, evolutionary and memetic algorithms, and routing problems are the topics of his research.
University of the Aegean & Hellenic Open University
I have studied at the University of Patras, Greece (BSc, 1984) and the University of Maryland, USA (MA, 1988, Ph.D, 1992). I have worked at the University of Maryland, the United States Department of Agriculture (USDA) and the Institute of Statistical Sciences, Taiwan and taught at the Universities of Maryland, Athens, Cyprus, Aegean and the Hellenic Open University.
My research activities cover various areas of Statistics such as Statistical Modeling, Model Selection Criteria, Biostatistics, Medical Statistics, Information Theory, Divergence Measures, Time Series Analysis, Goodness of Fit Tests, Applied Probability, Markov and Semi-Markov Processes, Economic Demography, Finance, Reliability Theory etc. I have published more than 100 articles and given more than 80 invited presentations in international conferences, symposia, and universities all over the world. I have published 2 textbooks in Greece, edited jointly 9 collective volumes (Wiley, ISAST, Springer & iSTE Wiley and co-edited special issues of journals such as J. of Mathematics and Statistics, J. of Reliability and Statistical Studies, Mathematics in Engineering, Science and Aerospace, Mathematics & Entropy. I have supervised 3 Postdocs, 6 PhD and over 50 Master Theses. I have great experience in the design and execution of research projects which involve statistical analysis of medical, biomedical, socioeconomic and economic data and have been involved in a number of research programs with external funding of 1.5 million euros, over the last 20 years (Central Banks, Government Units, National Research Foundations and the European Union).
"An Exponentiality Test of Fit Based on a Tail Characterization against Heavy and Light-Tailed Alternatives"
Log-concavity and log-convexity play a key role in various scientific fields, especially in those where the distinction between exponential and non-exponential distributions is necessary for inferential purposes. In the present study, we introduce a testing procedure for the tail part of a distribution which can be used for the distinction between exponential and non-exponential distributions. The conspiracy and catastrophe principles are initially used to establish a characteriza-tion of (the tail part of) the exponential distribution, which is one of the main contributions of the present work, leading the way for the construction of the new test of fit. The proposed test and its implementation are thoroughly discussed, and an extended simulation study has been undertaken to clarify issues related to its implementation and explore the extent of its capabilities. A real data case is also investigated.
Keywords: exponentiality test; tail characterization; log-concavity; log-convexity; extreme events; heavy-tailed distributions; light-tailed distributions