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Multivariate statistical modelling based on generalized linear models
G Tutz, L Fahrmeir
New York: Springer, 2001
2884*2001
Tutz. G.(2009): An Introduction to Recursive Partitioning
C Strobl, J Malley
Technical Report, 2009
2743*2009
Der Weg zur Datenanalyse
L Fahrmeir, R Künstler, I Pigeot, G Tutz
Springer, Berlin, 2007
2070*2007
Multivariate statistische Verfahren
W Brachinger
Walter de Gruyter, 1996
1010*1996
Regression for categorical data
G Tutz
Cambridge University Press, 2011
4892011
Variable selection for generalized linear mixed models by L1-penalized estimation
A Groll, G Tutz
3012011
Sequential item response models with an ordered response
G Tutz
British Journal of Mathematical and Statistical Psychology 43 (1), 39-55, 1990
2851990
Generalized additive modeling with implicit variable selection by likelihood-based boosting
G Tutz, H Binder
Biometrics 62 (4), 961-971, 2006
2442006
Die Analyse kategorialer Daten
G Tutz
Oldenbourg Wissenschaftsverlag, 2000
233*2000
Random forest for ordinal responses: prediction and variable selection
S Janitza, G Tutz, AL Boulesteix
Computational Statistics & Data Analysis 96, 57-73, 2016
1982016
Modeling discrete time-to-event data
G Tutz, M Schmid
Springer, 2016
1932016
Random effects in ordinal regression models
G Tutz, W Hennevogl
Computational Statistics & Data Analysis 22 (5), 537-557, 1996
1721996
Sequential models in categorical regression
G Tutz
Computational statistics & data analysis 11 (3), 275-295, 1991
1651991
Variable selection and model choice in geoadditive regression models
T Kneib, T Hothorn, G Tutz
Biometrics 65 (2), 626-634, 2009
1642009
Improved methods for the imputation of missing data by nearest neighbor methods
G Tutz, S Ramzan
Computational Statistics & Data Analysis 90, 84-99, 2015
1452015
Boosting ridge regression
G Tutz, H Binder
Computational Statistics & Data Analysis 51 (12), 6044-6059, 2007
1442007
Sparse modeling of categorial explanatory variables
J Gertheiss, G Tutz
1282010
Dynamic stochastic models for time-dependent ordered paired comparison systems
L Fahrmeir, G Tutz
Journal of the American Statistical Association, 1438-1449, 1994
1221994
A penalty approach to differential item functioning in Rasch models
G Tutz, G Schauberger
Psychometrika 80, 21-43, 2015
1182015
Penalized regression with correlation-based penalty
G Tutz, J Ulbricht
Statistics and Computing 19 (3), 239-253, 2009
1162009
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