Results 1 to 10 of about 220 (46)
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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Computational and Mathematical Biophysics, 2023 The COVID-19 pandemic recently caused a huge impact on India, not only in terms of health but also in terms of economy. Understanding the spatio-temporal patterns of the disease spread is crucial for controlling the outbreak.
Rana Kanav Singh, Kumari Nitu
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Analyzing and forecasting financial series with singular spectral analysis
Dependence Modeling, 2022 Modern techniques for managing multidimensional stochastic processes that reflect the dynamics of unstable environments are proactive, which refers to decision making based on forecasting the system’s state vector evolution.
Makshanov Andrey +2 more
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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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On the Complex and Chaotic Dynamics of Standard Logistic Sine Square Map
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021 In this article, we set up a new nonlinear dynamical system which is derived by combining logistic map and sine square map in Mann orbit (a two step feedback process) for ameliorating the stability performance of chaotic system and name it Standard ...
Kumari Sudesh +2 more
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Periodically Correlated Space-Time Autoregressive Hilbertian Processes [PDF]
, 2021 In this paper, we introduce periodically correlated space-time autoregressive processes with values in Hilbert spaces. The existence conditions and the strong law of large numbers are established. Moreover, we present an estimator for the autocorrelation
Hashemi, Mahmoud +2 more
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Nonlinear Cointegration and Nonlinear Error Correction: Record Counting Cointegration Tests [PDF]
, 2006 In this article we propose a record counting cointegration (RCC) test that is robust to nonlinearities and certain types of structural breaks. The RCC test is based on the synchronicity property of the jumps (new records) of cointegrated series, counting
Aparicio, Felipe M. +2 more
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Sparse Time Frequency Representations and Dynamical Systems [PDF]
, 2015 In this paper, we establish a connection between the recently developed data-driven time-frequency analysis [T.Y. Hou and Z. Shi, Advances in Adaptive Data Analysis, 3, 1–28, 2011], [T.Y. Hou and Z. Shi, Applied and Comput. Harmonic Analysis, 35, 284–308,
Hou, Thomas Y. +2 more
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Dynamical Sieve of Eratosthenes
, 2011 In this document, prime numbers are related as functions over time, mimicking the Sieve of Eratosthenes. For this purpose, the mathematical representation is a uni-dimentional time line depicting the number line for positive natural numbers N, where each
Mateos, Luis A.
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