"Statistiques robustes Congrès." .
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"estimation robuste série temporelle [congrès]" .
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"PROCESSUS ARMA." .
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"Procesos estocásticos." .
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"Ruprecht-Karls-Universität (Heidelberg). Sonderforschungsbereich hundertdreiundzwanzig. Workshop" .
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"Nichtlineare Zeitreihenanalyse." .
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"Sèries (Matemàtica)" .
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"Congressi - Heidelberg - 1983." .
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"analyse variance." .
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"Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\"" .
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"Nichtlineare Analysis." .
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"Séries chronologiques Congrès." .
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"Robust and nonlinear time series analysis proceedings of a workshop organized by the Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983"@en .
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"Robust and nonlinear time series analysis : proceedings of a Workshop org. by the Sonderforschungsbereich 123 \"Stochastische Mathemat. Modelle\", Heidelberg 1983" .
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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, this assumption is frequently replaced by the weaker assumption that the process is wide~sense stationary and that only the mean and covariance sequence is specified. This approach of specifying the probabilistic behavior only up to \"second order\" has of course been extremely popular from a theoretical point of view be cause it has allowed one to treat a large variety of problems, such as prediction, filtering and smoothing, using the geometry of Hilbert spaces. While the literature abounds with a variety of optimal estimation results based on either the Gaussian assumption or the specification of second-order properties, time series workers have not always believed in the literal truth of either the Gaussian or second-order specifica tion. They have none-the-less stressed the importance of such optimali ty results, probably for two main reasons: First, the results come from a rich and very workable theory. Second, the researchers often relied on a vague belief in a kind of continuity principle according to which the results of time series inference would change only a small amount if the actual model deviated only a small amount from the assum ed model."@en .
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"Robust and Nonlinear Time Series Analysis : Proceedings of a Workshop Organized by the Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983" .
"Robust and nonlinear time series analysis : proceedings of a workshop; Heidelberg 1983" .
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"Conference papers and proceedings"@en .
"Conference papers and proceedings" .
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"Robust and nonlinear time series analysis : Proceedings of a workshop organized by the Sonderforschungsbereich 123 'Stochastische Mathematische Modelle', Heidelberg, September 1983" .
"Robust and nonlinear time series analysis : proceedings of a workshop organized by the Sondersforschungbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983" .
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"Robust and nonlinear time series analysis : proceedings of a workshop organized by the Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983"@en .
"Robust and nonlinear time series analysis : proceedings of a workshop organized by the Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983" .
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"Robust and nonlinear time series analysis : proceedings of a workshop organized bythe Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg, 1983" .
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"Robust and nonlinear time series analysis : proceedings of a workshop...1983" .
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"Robust and nonlinear time series analysis : proceedings of a workshop" .
"Robust and nonlinear time series analysis" .
"Robust and non linear time series analysis : proceedings of a Workshop Organized by the Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983" .
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"Robust and Nonlinear Time Series Analysis Proceedings of a Workshop Organized by the Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983"@en .
"Robust and Nonlinear Time Series Analysis Proceedings of a Workshop Organized by the Sonderforschungsbereich 123 \"Stochastische Mathematische Modelle\", Heidelberg 1983" .
"Robust and nonlinear time series analysis"@en .
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