Results 1 to 10 of about 244 (53)
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
doaj +2 more sources
Gronwall-type integral inequalities with impulses on time scales
Advances in Difference Equations, 2011 In this article, some Gronwall-type integral inequalities with impulses on time scales are investigated. Our results extend some known dynamic inequalities on time scales, unify and extend some continuous inequalities and their corresponding discrete ...
Kang Ying +4 more
doaj +2 more sources
Social Media Impact on the ‘Cosmos’ Blockchain Ecosystem: State and Prospect
Data Science JournalThe proliferation of blockchain technology heralds transformative impacts across various sectors, offering decentralization, transparency, and enhanced security.
Ivan Pavlyshyn +4 more
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Bayesian GLS Identification of Autoregressive Moving Average Models
التجارة والتمويل, 2023 In this article, a new Bayesian approach is used to identify the autoregressive moving average models. Employing approximation error is the foundation of the suggested Bayesian methodology.
Howaida Elsayed
semanticscholar +1 more source
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
doaj +1 more source
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
core +2 more sources