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Statistical Theory and Computational Aspects of Smoothing: Proceedings of the COMPSTAT ’94 Satellite Meeting held in Semmering, Austria, 27–28 August 1994 - Brossura
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One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. Introduced are new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the topics is on an intermediate level avoiding too much technicalities. Computational and applied aspects are considered throughout. Of particular interest to readers is the discussion of recent local fitting techniques.
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Contenuti
1 A Personal View of Smoothing and Statistics.- 2 Smoothing by Local Regression: Principles and Methods.- 3 Variance Properties of Local Polynomials and Ensuing Modifications.- 4 Comments.- 5 Comments.- 6 Comments.- 7 Comments.- 8 Rejoinder.- 9 Rejoinder.- 10 Rejoinder.- 11 Robust Bayesian Nonparametric Regression.- 12 The Invariance of Statistical Analyses with Smoothing Splines with Respect to the Inner Product in the Reproducing Kernel Hilbert Space.- 13 A Note on Cross Validation for Smoothing Splines.- 14 Some Comments on Cross-Validation.- 15 Extreme Percentile Regression.- 16 Mean and Dispersion Additive Models.- 17 Interaction in Nonlinear Principal Components Analysis.- 18 Nonparametric Estimation of Additive Separable Regression Models.
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Statistical Theory and Computational Aspects of Smoothing: Proceedings of the COMPSTAT '94 Satellite Meeting held in Semmering, Austria, 27-28 August 1994 (Contributions to Statistics)
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Statistical Theory and Computational Aspects of Smoothing: Proceedings of the COMPSTAT '94 Satellite Meeting held in Semmering, Austria, 27-28 August 1994 (Contributions to Statistics)
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in . Codice articolo 5309990
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Statistical Theory and Computational Aspects of Smoothing: Proceedings of the COMPSTAT '94 Satellite Meeting held in Semmering, Austria, 27-28 August 1994 (Contributions to Statistics)
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Statistical Theory and Computational Aspects of Smoothing: Proceedings of the Compstat '94 Satellite Meeting Held in Semmering, Austria, 27-28 August 1994
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Statistical Theory and Computational Aspects of Smoothing
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. Introduced are new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the topics is on an intermediate level avoiding too much technicalities. Computational and applied aspects are considered throughout. Of particular interest to readers is the discussion of recent local fitting techniques. 265 pp. Englisch. Codice articolo 9783790809305
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Statistical Theory and Computational Aspects of Smoothing
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Physica-Verlag HD Mai 1996, 1996
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. Introduced are new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the topics is on an intermediate level avoiding too much technicalities. Computational and applied aspects are considered throughout. Of particular interest to readers is the discussion of recent local fitting techniques.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. Codice articolo 9783790809305
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