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Ordinal regression modelling between proportional odds and non-proportional odds

Tutz, Gerhard; Scholz, Torsten - 2003

Persistent link: https://www.econbiz.de/10001743499

Flexible modelling of discrete failure time including time-varying smooth effechts

Tutz, Gerhard; Binder, Harald - 2002

Persistent link: https://www.econbiz.de/10001744438

Vanishing of risk factors for the success and survival of newly founded companies

Kauermann, Göran; Tutz, Gerhard - 2001

Persistent link: https://www.econbiz.de/10001744652

Testing generalized linear and semiparametric models against smooth alternatives

Kauermann, Göran; Tutz, Gerhard - 1999

Persistent link: https://www.econbiz.de/10001745321

Comparison between local estimates for multi-categorical varying-coefficient models

Tutz, Gerhard; Edlich, Silke; Bäumer, Christoph - 1999

Persistent link: https://www.econbiz.de/10001745325

Semiparametric modelling of ordinal data

Kauermann, Göran; Tutz, Gerhard - 2000

Persistent link: https://www.econbiz.de/10001745440

Semiparametric modelling of multicategorical data

Tutz, Gerhard; Scholz, Torsten - 2000

Persistent link: https://www.econbiz.de/10001745501

Time-varying coefficients for discrete panel data

Tutz, Gerhard - In: Jahrbücher für Nationalökonomie und Statistik (1998), pp. 334-344

Persistent link: https://www.econbiz.de/10001239980

The Survival of Newly Founded Firms : A Case Study into Varying-Coefficient Models

Kauermann, Goran - 2009

Varying-coefficient models are used to examine how time modifies initial risk factors in the newly founded firm. Start-up risk factors studied include the prevailing market, the experience and age of the founder, preparation before the firm launch, and the financial frame and legal form of the...

Persistent link: https://www.econbiz.de/10013154193

A flexible link function for discrete-time duration models

Hess, Wolfgang; Tutz, Gerhard; Gertheiss, Jan - In: Jahrbücher für Nationalökonomie und Statistik 236 (2016) 4, pp. 455-481

Persistent link: https://www.econbiz.de/10011659966

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