Results 1 to 10 of about 1,909 (69)
Türkiye’de Enflasyonun Sigorta Şirketlerinin Performansına ve Prim Üretimlerine Etkileri
Ekonomi, Politika & Finans Araştırmaları Dergisi, 2023 Bu çalışmada, enflasyon oranlarının giderek hız kazandığı Türkiye’de, sigorta şirketlerinin performanslarının ve prim üretimlerinin enflasyondan nasıl etkilendiği araştırılmıştır. Karlılık oranları için 2006:1-2022:3 ve prim üretimi için de 2008:4-2022:3
K. Batu Tunay, Necla Tunay
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FUZZY VECTOR AUTOREGRESSION FOR FORECASTING FARMER EXCHANGE RATE IN CENTRAL JAVA PROVINCE
Media Statistika, 2022 Computer technology has developed to a very advanced measure. Calculations using complex formulas are no longer an obstacle for industry and researchers.
Nurhayadi Nurhayadi
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On regression approach to forecasting passenger demand in railway transport
Вестник Научно-исследовательского института железнодорожного транспорта, 2021 Due to the fact that the autocorrelation of time series of passenger demand under normal conditions is, as a rule, practically undeveloped, traditional forecasting methods based on taking into account autocorrelation dependences are not effective enough.
G. L. Venediktov, V. M. Kochetkov
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Machine Recognition of DDoS Attacks Using Statistical Parameters
Mathematics, 2023 As part of the research in the recently ended project SANET II, we were trying to create a new machine-learning system without a teacher. This system was designed to recognize DDoS attacks in real time, based on adaptation to real-time arbitrary traffic ...
Juraj Smiesko +2 more
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Limit Theory for Stationary Autoregression with Heavy-Tailed Augmented GARCH Innovations
Mathematics, 2021 This paper considers stationary autoregressive (AR) models with heavy-tailed, general GARCH (G-GARCH) or augmented GARCH noises. Limit theory for the least squares estimator (LSE) of autoregression coefficient ρ=ρn is derived uniformly over stationary ...
Eunju Hwang
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Mathematics, 2023 Three models of abundance dynamics for forest insects that depict the development of outbreak populations were analyzed. We studied populations of the Siberian silkmoth Dendrolimus sibiricus Tschetv.
Vladislav Soukhovolsky +3 more
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Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales
Journal of Advances in Modeling Earth Systems, 2020 Fire emissions of gases and aerosols alter atmospheric composition and have substantial impacts on climate, ecosystem function, and human health. Warming climate and human expansion in fire‐prone landscapes exacerbate fire impacts and call for more ...
Yang Chen +10 more
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Праці Інституту електродинаміки Національної академії наук України, 2023 The article presents the results of the study of models for short-term forecasting of overall electricity imbalances in the IPS of Ukraine. The analysis of forecasting results obtained using different types of autoregressive models and two forecasting ...
В.В. Сичова
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Small-size spectral features for machine learning in voice signal analysis and classification tasks
Informatika, 2023 Objectives. The problem of developing a method for calculating small-sized spectral features that increases the efficiency of existing machine learning systems for analyzing and classifying voice signals is being solved.Methods.
D. S. Likhachov +3 more
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The usage of power system multi-model forecasting aided state estimation for cyber attack detection
Известия высших учебных заведений: Проблемы энергетики, 2022 THE PURPOSE. Smart electrical grids involve extensive use of information infrastructure. Such an aggregate cyber-physical system can be subject to cyber attacks. One of the ways to counter cyberattacks is state estimation.
I. A. Lukicheva, A. L. Kulikov
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