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  • Search: subject:"Fractional Gaussian noise"
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Year of publication
Subject
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Fractional Gaussian noise 4 Theorie 3 Theory 3 Climate change 2 Global climate models 2 Long-range dependence 2 Stochastic process 2 Stochastischer Prozess 2 Temperature analysis 2 Time series analysis 2 Zeitreihenanalyse 2 ARMA model 1 ARMA-Modell 1 Aggregation 1 Anti-persistence 1 Box-Jenkins ARIMA 1 Change-of-frequency 1 Climate protection 1 Conditional expectation 1 Continuous record 1 Discrete record 1 Estimation theory 1 Forecasting model 1 Fractional Brownian motion 1 Greenhouse gas emissions 1 Klimaschutz 1 Klimawandel 1 Maximum likelihood 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Optimal forecast 1 Prognoseverfahren 1 Realised volatility 1 Schätztheorie 1 Semiparametric method 1 Treibhausgas-Emissionen 1 Volatility 1 Volatilität 1
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Online availability
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Free 5
Type of publication
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Book / Working Paper 5
Type of publication (narrower categories)
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Working Paper 5 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4
Language
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English 5
Author
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Dagsvik, John K. 2 Moen, Sigmund H. 2 Yu, Jun 2 Zhang, Chen 2 Beran, Jan 1 Ocker, Dirk 1 Shi, Shuping 1 Wang, Xiaohu 1
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Published in...
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Working paper 2 Discussion Papers 1 Discussion papers / Statistics Norway, Research Department 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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To what extent are temperature levels changing due to greenhouse gas emissions?
Dagsvik, John K.; Moen, Sigmund H. - 2023
Weather and temperatures vary in ways that are difficult to explain and predict precisely. In this article we review data on temperature variations in the past as well possible reasons for these variations. Subsequently, we review key properties of global climate models and statistical analyses...
Persistent link: https://www.econbiz.de/10014550270
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Cover Image
To what extent are temperature levels changing due to greenhouse gas emissions?
Dagsvik, John K.; Moen, Sigmund H. - 2023
Weather and temperatures vary in ways that are difficult to explain and predict precisely. In this article we review data on temperature variations in the past as well possible reasons for these variations. Subsequently, we review key properties of global climate models and statistical analyses...
Persistent link: https://www.econbiz.de/10014390576
Saved in:
Cover Image
On the optimal forecast with the fractional Brownian motion
Wang, Xiaohu; Zhang, Chen; Yu, Jun - 2022
Persistent link: https://www.econbiz.de/10013542217
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Cover Image
Finite sample comparison of alternative estimators for fractional Gaussian noise
Shi, Shuping; Yu, Jun; Zhang, Chen - 2022
Persistent link: https://www.econbiz.de/10013542219
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Cover Image
Temporal aggregation of stationary and nonstationary FARIMA (p, d, 0) models
Beran, Jan; Ocker, Dirk - 2000
We consider temporal aggregation of stationary and nonstationary time series with short memory, long memory and antipersistence, within the framework of fractional autoregressive processes. Asymptotically, long memory and antipersistence are preserved whereas short memory components vanish. In...
Persistent link: https://www.econbiz.de/10011543358
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