Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles

Teuber T (2013)
Bielefeld: Universität Bielefeld.

Bielefelder E-Dissertation| Englisch
 
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Autor/in
Teuber, Timo
Betreuer
Flaschel, Peter; Kauermann, Göran
Stichworte
Non-Linear model; Penalized Splines; Generalized Additive Model; Generalized Linear Mixed Model; Business Cycle; Non-parameteric model
Jahr
2013
Seite(n)
198
Page URI
https://pub.uni-bielefeld.de/record/2548050

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Teuber T. Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles. Bielefeld: Universität Bielefeld; 2013.
Teuber, T. (2013). Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles. Bielefeld: Universität Bielefeld.
Teuber, T. (2013). Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles. Bielefeld: Universität Bielefeld.
Teuber, T., 2013. Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles, Bielefeld: Universität Bielefeld.
T. Teuber, Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles, Bielefeld: Universität Bielefeld, 2013.
Teuber, T.: Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles. Universität Bielefeld, Bielefeld (2013).
Teuber, Timo. Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles. Bielefeld: Universität Bielefeld, 2013.
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