Results 41 to 50 of about 56,790 (283)
Statistical early-warning indicators based on Auto-Regressive Moving-Average processes
, 2014 We address the problem of defining early warning indicators of critical transition. To this purpose, we fit the relevant time series through a class of linear models, known as Auto-Regressive Moving-Average (ARMA(p,q)) models.
Dubrulle, Bérengère +2 more
core +1 more source
Odessa Astronomical Publications, 2017 In this paper, we present the results of a study of the variability of the prototype polar AM Her using one of the complementary mathematical methods.
I. L Andronov +9 more
doaj +1 more source
Innovation and economic growth in European Economic Area countries: The Granger causality approach
IIMB Management Review, 2019 The paper examines the long-run relationship between innovation and economic growth in the European Economic Area (EEA) countries for the period 1989–2014.
Rana Pratap Maradana +6 more
doaj +1 more source
Appropriateness of correlated first-order auto-regressive processes for modeling daily temperature records [PDF]
Physica A: Statistical Mechanics and its Applications, 2006 The present study investigates linear and volatile (nonlinear) correlations of first-order autoregressive process with uncorrelated AR (1) and long-range correlated CAR (1) Gaussian innovations as a function of the process parameter ($ $). In the light of recent findings \cite{jano}, we discuss the choice of CAR (1) in modeling daily temperature ...
Nagarajan, Radhakrishnan +1 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
The Effective Management of Organic Waste Policy in Albania
Energies, 2020 Following a recycling or continuous recycling process, there is always waste with no material or market value that can be converted into energy or other fossil fuel substitutes.
Ionica Oncioiu +5 more
doaj +1 more source
Engineering Proceedings, 2023 In time series analyses, the auto-regressive (AR) modelling of zero mean data is widely used for system identification, signal decorrelation, detection of outliers and forecasting.
Johannes Korte +2 more
doaj +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Multifractal modeling of MPEG-4 video traffic
Tongxin xuebao, 2006 The correlation function and marginal distribution of multipliers at each layer were investigated in multifractal multiplicative process.Based on the lemmas gained,a new multifractal MPEG-4 video traffic model（PMFM,predict-able MFM）was proposed.By ...
WANG Sheng-hui, QIU Zheng-ding
doaj +2 more sources
Prediction of weakly locally stationary processes by auto-regression
, 2016 In this contribution we introduce weakly locally stationary time series through the local approximation of the non-stationary covariance structure by a stationary one. This allows us to define autoregression coefficients in a non-stationary context, which, in the particular case of a locally stationary Time Varying Autoregressive (TVAR) process ...
Roueff, Françcois +1 more
openaire +3 more sources