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.

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Bielefeld Dissertation | English
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Flaschel, Peter ; Kauermann, Göran
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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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