Comprehensive genomic analysis of carbapenem-resistant Citrobacter freundii and characterization of a co-carrying bla<sub>KPC-2</sub> and bla<sub>NDM-1</sub> isolate in Zhejiang Province， China. [PDF]
BMC MicrobiolLuo X +7 more
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Testing for the footprints of stabilization economic policy in forecast errors. [PDF]
PLoS OneCharemza W +4 more
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A Suppression Method for Random Errors of IFOG Based on the Decoupling of Colored Noise-Spectrum Information. [PDF]
Micromachines (Basel)Liang Z +6 more
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Forecasting occupational accidents in Turkey using multivariate ARMAX and NLARX models. [PDF]
Sci RepKaplanvural S, Tosyalı E, Ekmekçi İ.
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Hybrid models combining trend and seasonality components with machine learning algorithms provide accurate forecasting of malaria incidence. [PDF]
PLOS Glob Public HealthHussain SSA +8 more
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Long-Term Validation of a Consumer- vs. Industrial-Grade Indoor Radon and Air Quality Monitor at a School in Utah. [PDF]
Sensors (Basel)Beard JD +3 more
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Moments of the ARMA–EGARCH model [PDF]
The Econometrics Journal, 2003 Summary: This paper considers the moment structure of the general ARMA-EGARCH model. In particular, we derive the autocorrelation function of any positive integer power of the squared errors. In addition, we obtain the autocorrelations of the squares of the observed process and cross correlations between the levels and the squares of the observed ...
Menelaos Karanasos, J. Kim
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The Identification of ARMA Models
Biometrika, 1990SUMMARY We present a new powerful method for determining the order of ARMA (p, q) models having small sets of observations. The procedure is based on an autoregressive order determination criterion and on linear estimation methods. Simulated data are used to demonstrate the capabilities of the approach. for a survey.
TARMO PUKKILA +2 more
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