Browsing by Author "Kateri, Maria"

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Citation - WoS: 3
Citation - Scopus: 3
Estimating the Parameter of a Geometric Distribution From Series System Data
(Elsevier, 2024) Eryilmaz, Serkan; Kateri, Maria; Industrial Engineering
In a traditional setup of estimation of an unknown parameter of component lifetime distribution, system's continuous lifetime data is used. In this paper, we propose a simple and competitive estimator that is based on discrete lifetime data, i.e., the number of failed components at the time when the system fails. In particular, we consider the estimation of the parameter of a geometric distribution based on the system's lifetime data, and the number of failed components upon the failure of the system when the system has a series structure. Two moment estimators that are based on the system lifetime data and the number of failed components at the moment of system failure are obtained and their performances are compared in terms of the mean square error. The associated Bayesian estimators with non -informative priors are also discussed.
Citation - WoS: 2
Citation - Scopus: 3
Statistics and Probability Theory in Renewable Energy: Teaching and Research
(Wiley, 2023) Eryilmaz, Serkan; Kateri, Maria; Devrim, Yilser; Industrial Engineering; Energy Systems Engineering
In this paper, the key-role and utility of statistics and probability theory in the field of renewable energy are emphasized and illustrated via specific examples. It is demonstrated that renewable energy is a very suitable field to effectively teach and implement many statistical and probabilistic concepts and techniques. From a research point of view, statistical and probabilistic methods have been successfully employed in evaluating renewable energy systems. These methods will continue to be of core interest for the renewable energy sector in the future, as new and more complex renewable energy systems are developed and installed. In this context, some future research directions in relation to the evaluation of renewable energy systems are also presented.