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  • 1
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    In:  The Oxford handbook of Africa and economics ; Vol.2: Policies and practices (2015), Seite 762-779 | year:2015 | pages:762-779
    ISBN: 9780199687107
    Language: English
    Titel der Quelle: The Oxford handbook of Africa and economics ; Vol.2: Policies and practices
    Publ. der Quelle: Oxford [u.a.] : Oxford Univ. Press, 2015
    Angaben zur Quelle: (2015), Seite 762-779
    Angaben zur Quelle: year:2015
    Angaben zur Quelle: pages:762-779
    Keywords: Aufsatz im Buch
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  • 2
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    In:  Sociological methods & research : SMR Vol. 31, No. 3 (2003), p. 389-419
    ISSN: 0049-1241
    Language: Undetermined
    Titel der Quelle: Sociological methods & research : SMR
    Publ. der Quelle: Thousand Oaks [u.a.] : Sage Publ
    Angaben zur Quelle: Vol. 31, No. 3 (2003), p. 389-419
    DDC: 300
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  • 3
    ISBN: 9783030777227
    Language: English
    Pages: 1 online resource (707 pages)
    Parallel Title: Erscheint auch als
    DDC: 304.2018
    Keywords: Environmental sciences-Mathematics ; Mathematical optimization ; Calculus of variations ; Electronic books
    Abstract: Intro -- Preface -- Contents -- Contributors -- Data Assimilation for Chaotic Dynamics -- 1 Introduction -- 2 Chaos in Atmospheric and Oceanic Flows -- 2.1 Measuring Sensitivity to Initial Conditions -- 3 Data Assimilation in Chaotic Systems-How the Dynamics Impacts the Way We Assimilate Data -- 3.1 Linear Dynamics: The Effect of Chaos on the Kalman Filter and Smoother -- 3.2 Nonlinear Dynamics: The Effect of Chaos on the Ensemble Kalman Filter -- 4 Data Assimilation for Chaotic Systems-How Chaos Becomes an Opportunity -- 4.1 Targeting Observations Using the Unstable Subspace -- 4.2 Assimilation in the Unstable Subspace -- 5 Forward Looking -- 5.1 AUS in a Non-Gaussian Filter? -- 5.2 Data Assimilation and Random Attractors -- 6 Summary and Conclusion -- References -- Multifidelity Data Assimilation for Physical Systems -- 1 Introduction -- 1.1 Notation -- 1.2 The Data Assimilation Problem -- 1.3 Multifidelity Models -- 2 Control Variates -- 2.1 Ensemble Control Variates -- 3 Multifidelity Filtering -- 3.1 Multifidelity Kalman Filter -- 3.2 Multifidelity Ensemble Kalman Filter -- 3.3 Other `Multi-x' Data Assimilation Algorithms -- 4 Multifidelity Observations -- 5 Numerical Experiments -- 6 Discussion -- References -- Filtering with One-Step-Ahead Smoothing for Efficient Data Assimilation -- 1 Introduction -- 2 Problem Formulation -- 3 One-Step-Ahead Smoothing (OSAS) Formulation of Bayesian Filtering -- 3.1 The Generic Algorithm -- 3.2 State-Space Transform -- 4 OSAS-Like Filtering for Small-Dimensional Systems -- 4.1 The OSAS-Based Kalman Filter (KF-OSAS) -- 4.2 The OSAS-Based Particle Filter (PF-OSAS) -- 5 OSAS-Like Filtering for Large-Dimensional Systems -- 5.1 The OSAS-Based Ensemble Kalman Filter (EnKF-OSAS) -- 5.2 State-Parameters Estimation with OSAS-Based Ensemble Filtering -- 6 Summary -- References.
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