Results 11 to 20 of about 160,558 (267)
Two approaches to solving the problem of smoothing digital signals based on a combined criterion [PDF]
Serbian Journal of Electrical Engineering, 2017 The paper presents a method for smoothing signals represented by a single realization of a finite-length random process, under conditions of a limited amount of a priori information about the signal function and statistical characteristics the ...
Semenishchev Evgenii +2 more
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Atmosphere, 2023 In this paper, we study the problem of extracting trends from time series data involving missing values. In particular, we investigate a general class of procedures that impute the missing data and then extract trends using seasonal-trend decomposition ...
Chun-Fung Kwok +2 more
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Rauch-Tung-Striebel Smoothing Linear Multi-Target Tracking in Clutter
IEEE Access, 2022 Most conventional data association based multi-target tracking (MTT) algorithms typically suffer from intractable computational complexities and could not perform in an environment where large number of closely spaced multiple targets move across each ...
Sufyan Ali Memon +3 more
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SATELLITE ALTIMETER DATA FILTERING AND SMOOTHING IN THE COURSE OF GROUND-BASED RETRACKING
Известия высших учебных заведений России: Радиоэлектроника, 2019 Introduction. Satellite radar altimeter is an essential part of the Earth remote sensing space missions. Satellite altimeter on-board delay-lock loop, by a widely shared concept, is operationally just a tool of a reliable retaining of received echo ...
D. S. Borovitsky +3 more
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Stats, 2021 Functional data analysis techniques, such as penalized splines, have become common tools used in a variety of applied research settings. Penalized spline estimators are frequently used in applied research to estimate unknown functions from noisy data ...
Lauren N. Berry, Nathaniel E. Helwig
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Modelling Petroleum Prices in Tanzania: A Comparative Analysis between ARIMA and Holt’s Method [PDF]
International Journal of Management, Accounting and Economics, 2023 Petroleum is one of the vital sources of energy for economic activities and the most traded commodity worldwide. It is crucial to industry and civilization and as it meets a substantial portion of the world's energy requirements, it has a big impact on ...
Laban Gasper, George Abrahamu
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Applied Geospatial Bayesian Modeling in the Big Data Era: Challenges and Solutions
Mathematics, 2022 Two important trends in applied statistics are an increased usage of geospatial models and an increased usage of big data. Naturally, there has been overlap as analysts utilize the techniques associated with each. With geospatial methods such as kriging,
Jason S. Byers, Jeff Gill
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ASSESSMENT AND POLICY OF ALIGNMENT ECONOMIC ASYMMETRY OF RUSSIAN FEDERATION REGIONS
Вестник Северо-Кавказского федерального университета, 2022 The questions deals with economic asymmetry of Russia regions. Analyzed assessment of regional economic asymmetry. Offers basic steps to align of regional economy.
Rustam M. Ustaev, Valentina N. Parakhina
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Semilocal smoothihg S-splines [PDF]
Компьютерные исследования и моделирование, 2010 Semilocal smoothing splines or S-splines from class C p are considered. These splines consist of polynomials of a degree n, first p + 1 coefficients of each polynomial are determined by values of the previous polynomial and p its derivatives at the point
Dmitrii Alekseevich Silaev
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Smooth transition exponential smoothing [PDF]
Journal of Forecasting, 2004 AbstractAdaptive exponential smoothing methods allow a smoothing parameter to change over time, in order to adapt to changes in the characteristics of the time series. However, these methods have tended to produce unstable forecasts and have performed poorly in empirical studies.
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