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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_1686644493
    Format: 1 Online-Ressource(XXIII, 608 p. 76 illus., 6 illus. in color.)
    Edition: 3rd ed. 2019.
    ISBN: 9783030291648
    Series Statement: Springer Texts in Statistics
    Content: 1. Nonparametric Regression -- 2. Penalized Estimation -- 3. Reproducing Kernel Hilbert Spaces -- 4. Covariance Parameter Estimation -- 5. Mixed Models and Variance Components -- 6. Frequency Analysis of Time Series -- 7. Time Domain Analysis -- 8. Linear Models for Spacial Data: Kriging -- 9. Multivariate Linear Models: General. 10. Multivariate Linear Models: Applications -- 11. Generalized Multivariate Linear Models and Longitudinal Data -- 12. Discrimination and Allocation -- 13. Binary Discrimination and Regression -- 14. Principal Components, Classical Multidimensional Scaling, and Factor Analysis -- A Mathematical Background -- B Best Linear Predictors -- C Residual Maximum Likelihood -- Index -- Author Index.
    Content: Now in its third edition, this companion volume to Ronald Christensen’s Plane Answers to Complex Questions uses three fundamental concepts from standard linear model theory—best linear prediction, projections, and Mahalanobis distance— to extend standard linear modeling into the realms of Statistical Learning and Dependent Data. This new edition features a wealth of new and revised content. In Statistical Learning it delves into nonparametric regression, penalized estimation (regularization), reproducing kernel Hilbert spaces, the kernel trick, and support vector machines. For Dependent Data it uses linear model theory to examine general linear models, linear mixed models, time series, spatial data, (generalized) multivariate linear models, discrimination, and dimension reduction. While numerous references to Plane Answers are made throughout the volume, Advanced Linear Modeling can be used on its own given a solid background in linear models. Accompanying R code for the analyses is available online.
    Additional Edition: ISBN 9783030291631
    Additional Edition: ISBN 9783030291655
    Additional Edition: ISBN 9783030291662
    Additional Edition: Erscheint auch als Druck-Ausgabe Christensen, Ronald, 1951 - Advanced linear modeling Cham, Switzerland : Springer, 2019 ISBN 9783030291631
    Additional Edition: ISBN 9783030291662
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030291655
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030291662
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Nichtparametrische Regression ; Regularisierung ; Support-Vektor-Maschine ; Lineares Modell ; Zeitreihenanalyse
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