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2006, 1. Aufl., ISBN 0470014962, x, 366
Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition... 
Plan d'expérience | Multilevel models (Statistics) | Experimental design | Analyse de régression | Regression analysis | Analyse de variance | Analysis of variance | Modèles multiniveaux (Statistique)
Book
2014, Second edition., ISBN 9781119945499, xiii, 487 pages
Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is... 
Multilevel models (Statistics) | Regression analysis | Experimental design | Analysis of variance
Book
Journal of Multivariate Analysis, ISSN 0047-259X, 2004, Volume 91, Issue 1, pp. 74 - 89
Journal Article
Mathematical Biosciences, ISSN 0025-5564, 09/2018, Volume 303, pp. 75 - 82
Classical adaptive lasso regression is known to possess the oracle properties; namely, it performs as well as if the correct submodel were known in advance.... 
Adaptive lasso | Gibbs sampler | Hierarchical model | Bayesian inference | Linear regression | ELASTIC NET | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | REGULARIZATION | VARIABLE SELECTION | ORACLE PROPERTIES | Analysis | Algorithms | Information management
Journal Article
Bayesian Analysis, ISSN 1936-0975, 2010, Volume 5, Issue 2, pp. 369 - 412
Penalized regression methods for simultaneous variables election and coefficient estimation, especially those based on the lasso of Tibshirani (1996), have... 
Geometric ergodicity | Gibbs Sampling | Hierarchical models | Variable selection | Variable Selection | LOGISTIC-REGRESSION | STATISTICS & PROBABILITY | ORACLE PROPERTIES | Hierarchical Models | DISTRIBUTIONS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | BOOTSTRAP | MODEL SELECTION | ESTIMATORS | Geometric Ergodicity | GIBBS
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2006, Volume 17, Issue 1, pp. 1 - 27
Relative importance is a topic that has seen a lot of interest in recent years, particularly in applied work. The R package relaimpo implements six different... 
Relative importance | Relaimpo | Variance decomposition | Hier.part | Hierarchical partitioning | Linear model | hier.part | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | hierarchical partitioning | relaimpo | R-2 | PREDICTORS | MULTIPLE-REGRESSION | STATISTICS & PROBABILITY | linear model | relative importance | variance decomposition
Journal Article
Journal Article
Journal Article
Methods in Ecology and Evolution, ISSN 2041-210X, 06/2016, Volume 7, Issue 6, pp. 744 - 750
Journal Article
MALARIA JOURNAL, ISSN 1475-2875, 01/2019, Volume 18, Issue 1, pp. 4 - 16
Journal Article