Results 1 to 10 of about 222 (103)
Majalah Ilmiah Matematika dan Statistika, 2022 Forecasting is a technique for estimating a value on a particular object in the future by paying attention to past data. This forecasting uses the Exponential Smoothing models because the data used is in accordance with the model.
Muhammad Marizal, Fikha Mutiarani
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Majalah Ilmiah Matematika dan Statistika, 2022 The fuzzy time series method for forecasting continues to develop over time. This research discusses fuzzy time series, which considers two factors for high order using interval partitioning based on interval ratio with long relation construction for ...
Etna Vianita +2 more
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Capturing asymmetry in COVID-19 counts using an improved skewness measure for time series data [PDF]
MethodsX, 2023 Capturing asymmetry among time series is an important area of research as it provides a range of information regarding the behaviour and distribution of the underlying series, which in turn proves to be useful for prediction.
Sudeep R. Bapat
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Fuzzy time series dalam meramalkan jumlah produksi karet di Sumatra Utara
Majalah Ilmiah Matematika dan StatistikaRubber (Hevea brasiliensis) belongs to the genus Heveadari familia Euphorbiaceae which is a tropical woody tree native to the amazon jungle. Rubber is one of the plantation crops that is very important for the economy in Indonesia.
Arika Arika +3 more
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Geoestadística aplicada a series de tiempo autorregresivas: un estudio de simulación
Revista Integración, 2017 La geoestadística puede usarse como método de predicción de datos faltantes en series temporales. El procedimiento se basa en el estudio de la estructura de autocorrelación temporal de la serie de tiempo por medio de la función de variograma, que es ...
Ramón Giraldo +2 more
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Estimation and inference in adaptive learning models with slowly decreasing gains
Journal of Time Series Analysis, Volume 43, Issue 5, Page 720-749, September 2022., 2022 An asymptotic theory for estimation and inference in adaptive learning models with strong mixing regressors and martingale difference innovations is developed. The maintained polynomial gain specification provides a unified framework which permits slow convergence of agents' beliefs and contains recursive least squares as a prominent special case ...
Alexander Mayer
wiley +1 more source
Time series with infinite-order partial copula dependence
Dependence Modeling, 2022 Stationary and ergodic time series can be constructed using an s-vine decomposition based on sets of bivariate copula functions. The extension of such processes to infinite copula sequences is considered and shown to yield a rich class of models that ...
Bladt Martin, McNeil Alexander J.
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Data analysis-based time series forecast for managing household electricity consumption
Demonstratio Mathematica, 2022 Recently, electricity consumption forecasting has attracted much research due to its importance in our daily life as well as in economic activities. This process is seen as one of the ways to manage future electricity needs, including anticipating the ...
Bezzar Nour El-Houda +3 more
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A statistical study of COVID-19 pandemic in Egypt
Demonstratio Mathematica, 2021 The spread of the COVID-19 started in Wuhan on December 31, 2019, and a powerful outbreak of the disease occurred there. According to the latest data, more than 165 million cases of COVID-19 infection have been detected in the world (last update May 19 ...
Radwan Taha
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Open Mathematics, 2021 In this paper, we consider a novel estimation for partial functional linear regression models. The functional principal component analysis method is employed to estimate the slope function and the functional predictive variable, respectively.
Cao Peng, Sun Jun
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