J. Franke – författare
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4 produkter
Robust and Nonlinear Time Series Analysis
Proceedings of a Workshop Organized by the Sonderforschungsbereich 123 “Stochastische Mathematische Modelle”, Heidelberg 1983
Av J. Franke, W. Härdle m. fl.
Häftad, 1984
1098 kr
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Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Gaussian process. However, since the Gaussian assumption is a fairly stringent one, …
Measuring Risk in Complex Stochastic Systems
Av J. Franke, Wolfgang Härdle m. fl.
Häftad, 2000
552 kr
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Complex dynamic processes of life and sciences generate risks that have to be taken. The need for clear and distinctive definitions of different kinds of risks, adequate methods and parsimonious models is obvious. The identification of important risk factors and the quantification of risk stemming …
Measuring Risk in Complex Stochastic Systems
Av Gerhard Stahl, Wolfgang Hardle m. fl.
E-bok, 2012
718 kr
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Complex dynamic processes of life and sciences generate risks that have to be taken. The need for clear and distinctive definitions of different kinds of risks, adequate methods and parsimonious models is obvious. The identification of important risk factors and the quantification of risk stemming …
Robust and Nonlinear Time Series Analysis
Proceedings of a Workshop Organized by the Sonderforschungsbereich 123 “Stochastische Mathematische Modelle”, Heidelberg 1983
Av D. Martin, W. Hardle m. fl.
E-bok, 2012
1459 kr
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Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Gaussian process. However, since the Gaussian assumption is a fairly stringent one, …
