Academic literature on the topic 'Модель AR'
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Journal articles on the topic "Модель AR"
Миськевич, А. И., and А. В. Подкопаев. "Излучательные характеристики эксимерных молекул Ar-=SUB=-2-=/SUB=-Cl-=SUP=-*-=/SUP=- при накачке плотной газовой смеси Ar + CCl-=SUB=-4-=/SUB=- быстрыми электронами." Оптика и спектроскопия 129, no. 9 (2021): 1146. http://dx.doi.org/10.21883/os.2021.09.51341.2173-21.
Full textЖигайло, О. М., and М. М. Топор. "АВТОМАТИЗОВАНА ПОБУДОВА МОДЕЛЕЙ ПРОГНОЗУВАННЯ ЗБУТУ ХЛІБОБУЛОЧНИХ ВИРОБІВ." Automation of technological and business processes 11, no. 2 (June 26, 2019): 24–30. http://dx.doi.org/10.15673/atbp.v11i2.1372.
Full textБолдин, Михаил Васильевич, and Mixail Vasil'evich Boldin. "О проверке нормальности авторегрессии с засорениями критерием Пирсона." Teoriya Veroyatnostei i ee Primeneniya 65, no. 1 (2020): 126–37. http://dx.doi.org/10.4213/tvp5294.
Full textЛеськова, С. В. "ІМПЛЕМЕНТАЦІЯ ІННОВАЦІЙНОЇ СИСТЕМИ УПРАВЛІННЯ РОЗВИТКОМ ПЕРСОНАЛУ В ПРОЦЕС УПРАВЛІННЯ ПЕРСОНАЛОМ РОЗДРІБНИХ ТОРГОВЕЛЬНИХ МЕРЕЖ." Herald of Lviv University of Trade and Economics Economic sciences, no. 59 (June 18, 2020): 116–23. http://dx.doi.org/10.36477/2522-1205-2020-59-15.
Full textMakaras, Rolandas, Jonas Sapragonas, Artūras Keršys, and Saugirdas Pukalskas. "DYNAMIC MODEL OF A VEHICLE MOVING IN THE URBAN AREA / TRANSPORTO PRIEMONĖS JUDĖJIMO MIESTE DINAMINIS MODELIS / ДИНАМИЧЕСКАЯ МОДЕЛЬ ДВИЖЕНИЯ ТРАНСПОРТНОГО СРЕДСТВА В ГОРОДЕ." TRANSPORT 26, no. 1 (April 12, 2011): 35–42. http://dx.doi.org/10.3846/16484142.2011.558630.
Full textZhou, Sien, Jian Sun, Xiao An, and Keping Li. "THE DEVELOPMENT OF A CONFLICT HAZARDOUS ASSESSMENT MODEL FOR EVALUATING URBAN INTERSECTION SAFETY / TRANSPORTO PRIEMONIŲ SUSIDŪRIMO PAVOJAUS VERTINIMO MODELIO RAIDA, ANALIZUOJANT SUSIKIRTIMO TAŠKŲ SAUGĄ MIESTO SANKRYŽOSE / МОДЕЛЬ ОЦЕНКИ УГРОЗЫ СТОЛКНОВЕНИЯ ТРАНСПОРТНЫХ СРЕДСТВ ДЛЯ АНАЛИЗА БЕЗОПАСНОСТИ ГОРОДСКИХ ПЕРЕКРЕСТКОВ." TRANSPORT 26, no. 2 (July 7, 2011): 216–23. http://dx.doi.org/10.3846/16484142.2011.589494.
Full textKollo, Karin, and Martin Vermeer. "MODELLING LAND UPLIFT RATES AND THEIR ERROR PROPAGATION / ŽEMĖS PLUTOS KILIMO GREIČIŲ IR JŲ PAKLAIDŲ SKLAIDOS MODELIAVIMAS / МОДЕЛИРОВАНИЕ СКОРОСТЕЙ ПОДНЯТИЯ ЗЕМНОЙ КОРЫ И РАСПРОСТРАНЕНИЯ ИХ ПОГРЕШНОСТЕЙ." Geodesy and Cartography 37, no. 1 (April 15, 2011): 33–40. http://dx.doi.org/10.3846/13921541.2011.559941.
Full textСуховольский, В. Г., О. В. Тарасова, and А. В. Ковалев. "Hidden parameters of time series of the forest insects’ population dynamics and patterns of formation of insect complexes." Известия СПбЛТА, no. 236 (September 20, 2019): 49–68. http://dx.doi.org/10.21266/2079-4304.2021.236.49-68.
Full textBehbahani, Hamid, and Farshidreza Haghighi. "PRESENTATION OF LAND‐USE AND TRAFFIC EFFICIENCY ASSESSMENT/ŽEMĖNAUDOS IR TRANSPORTO EFEKTYVUMO VERTINIMAS/ОЦЕНКА ЭФФЕКТИВНОСТИ ЗЕМЛЕПОЛЬЗОВАНИЯ И СИСТЕМ ТРАНСПОРТИРОВАНИЯ." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 17, no. 2 (June 30, 2009): 1–9. http://dx.doi.org/10.3846/1648-6897.2009.17.ia-ii.
Full textГорбенко, Е. Е., Е. П. Троицкая, and Е. А. Пилипенко. "Упругие свойства сжатых кристаллов инертных газов в модели деформируемых атомов." Физика твердого тела 59, no. 1 (2017): 126. http://dx.doi.org/10.21883/ftt.2017.01.43962.167.
Full textDissertations / Theses on the topic "Модель AR"
Логін, Вадим Вікторович. "Моделі для прогнозування характеристик трафіка цифрової реклами." Master's thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/23748.
Full textModels for forecasting parameters of digital advertising traffic. Master's thesis: 112 p., 48 fig., 40 tabl., 3 appendixes and 30 sources. The object of study – digital advertising traffic in the form of statistical data. Subject of research – models and methods of analysis of data in the form of time series, methods of applied statistics. Purpose – constructing time series models for forecasting the most important characteristics of digital advertising traffic. Methods of research – time series models for forecasting data and comparative analysis of the obtained models. This paper presents the results of construction of time series models, which are intended for forecasting of the most important characteristics of digital advertising traffic. Described the results of the comparative analysis of the obtained models with the help of information criteria, and also in terms of their accuracy. Was found that for our task, the best model is the ARIMAX model (Autoregressive integrated moving-average model with exogenous inputs). Therefore, it is recommended to use this model for further research. Based on master's dissertation were written theses as well as a scientific article. The theses will be published in the SAIT-2018 conference Book of Abstracts. The scientific article will be published in the electronic collection of reports at the CEUR publishing house (CEUR Workshop Proceedings). The further development of the research object – is the construction of new ones, as well as the improvement of existing time series models for forecasting the most important characteristics of digital advertising traffic. And also – it is a generalization of the research, conducted in this paper, on the analysis of individual sites from the digital advertising traffic.
Conference papers on the topic "Модель AR"
Лапкин, К. М., and Е. В. Данилова. "АНАЛИЗ КРАТКОСРОЧНЫХ МОДЕЛЕЙ ДЛЯ ПРОГНОЗИРОВАНИЯ СЕТЕВОГО ТРАФИКА." In Современные тенденции и проекты развития информационных систем и технологий. Хабаровск : РИЦ ХГУЭП, 2021. http://dx.doi.org/10.38161/978-5-7823-0747-9-2021-48-53.
Full textМалков, Ф. С., С. В. Григорьев, and А. А. Исаева. "ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ ИНСТРУМЕНТОВ УПРАВЛЕНИЯ VR/AR-КОНТЕНТОМ В АРХЕОЛОГИИ." In VIRTUAL ARCHAEOLOGY. SIBERIAN FEDERAL UNIVERSITY, 2021. http://dx.doi.org/10.17516/sibvirarch-010.
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