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Variable Selection and Model Choice in Geoadditive Regression Models

Kneib, Thomas; Hothorn, Torsten; Tutz, Gerhard - In: Biometrics 65 (2009) 2, pp. 626-634

Persistent link: https://www.econbiz.de/10010947837

Generalized linear random effects models with varying coefficients

Tutz, Gerhard; Kauermann, Goran - In: Computational Statistics & Data Analysis 43 (2003) 1, pp. 13-28

Persistent link: https://www.econbiz.de/10005081806

Boosting techniques for nonlinear time series models

Robinzonov, Nikolay; Tutz, Gerhard; Hothorn, Torsten - In: AStA Advances in Statistical Analysis 96 (2012) 1, pp. 99-122

Persistent link: https://www.econbiz.de/10010539406

Boosting techniques for nonlinear time series models

Robinzonov, Nikolay; Tutz, Gerhard; Hothorn, Torsten - In: Wirtschafts- und sozialstatistisches Archiv : ASTA ; … 96 (2012) 1, pp. 99-123

Persistent link: https://www.econbiz.de/10009818645

Testing generalized linear and semiparametric models against smooth alternatives

Kauermann, Göran; Tutz, Gerhard - In: Journal of the Royal Statistical Society Series B 63 (2001) 1, pp. 147-166

Persistent link: https://www.econbiz.de/10005140274

The survival of newly founded firms: a case-study into varying-coefficient models

Kauermann, Göran; Tutz, Gerhard; Brüderl, Josef - In: Journal of the Royal Statistical Society Series A 168 (2005) 1, pp. 145-158

The success of a newly founded firm depends on various initial risk factors or start-up conditions such as the market that the business is aiming for, the experience and the age of the founder, the preparation before the launch, the financial frame and the legal form of the firm. These risk...

Persistent link: https://www.econbiz.de/10005276920