Results 191 to 200 of about 25,351,427 (247)
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IEEE Transactions on Automation Science and Engineering, 2020
Nonstationary variations widely exist in abnormal industrial processes, in which the mean values and variances of the fault nonstationary variables change with time.
Yunyun Hu, Chunhui Zhao
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Nonstationary variations widely exist in abnormal industrial processes, in which the mean values and variances of the fault nonstationary variables change with time.
Yunyun Hu, Chunhui Zhao
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IEEE Transactions on Control Systems Technology, 2020
For nonstationary processes, it is difficult to detect the abnormality which may be hidden by the normal nonstationary variations. The key issue is how to fully explore the underlying nonstationary variable relationships.
Chunhui Zhao, He Sun, Feng Tian
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For nonstationary processes, it is difficult to detect the abnormality which may be hidden by the normal nonstationary variations. The key issue is how to fully explore the underlying nonstationary variable relationships.
Chunhui Zhao, He Sun, Feng Tian
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International Journal of Green Energy, 2020
The aim of this paper is to investigate the relationship between environmental policy stringency and CO2 emissions in BRIICTS (Brazil, Russia, India, Indonesia, China, Turkey and South Africa) for the period 1993–2014 after controlling for renewable ...
Y. Wolde‐Rufael +1 more
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The aim of this paper is to investigate the relationship between environmental policy stringency and CO2 emissions in BRIICTS (Brazil, Russia, India, Indonesia, China, Turkey and South Africa) for the period 1993–2014 after controlling for renewable ...
Y. Wolde‐Rufael +1 more
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Cointegration Analysis of Seasonal Time Series
Journal of Economic Surveys, 1998This paper reviews various recent approaches to cointegration analysis of seasonal time series. In addition to the usual decisions concerning data transformations and univariate time series properties, it is necessary to decide how seasonal variation is included in the multivariate model and how standard cointegration methods should accordingly be ...
Franses, Philip Hans, McAleer, Michael
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Cointegration analysis of the Fed model
Finance Research Letters, 2005The Fed Model assumes that, the equity earnings yield follows the bond yield in the long run. This effect can be used to predict changes in the equity prices when the yields are far apart. Our tests based on a cointegration analysis of the United States, United Kingdom and German data indicate that the Fed model has predictive power.
Matti Koivu +2 more
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BAYESIAN REFERENCE ANALYSIS OF COINTEGRATION
Econometric Theory, 2005Summary: A Bayesian reference analysis of the cointegrated vector autoregression is presented based on a new prior distribution. Among other properties, it is shown that this prior distribution distributes its probability mass uniformly over all cointegration spaces for a given cointegration rank and is invariant to the choice of normalizing variables ...
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Vertical price leadership: A cointegration analysis
Agribusiness, 2002AbstractHere we detail a method to test whether or not retailers allow suppliers to set the wholesale price not only on the basis of the costs faced by the suppliers but also on the basis of consumer demand. Using standard theory, long‐run price relationships between the stages in the channel are derived.
Kuiper, W.E., Meulenberg, M.T.G.
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