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Autor: Brian D. Marx

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Brian D. Marx is a Professor of Statistics at Louisiana State University. His main research interests include smoothing, ill-conditioned regression problems, high-dimensional chemometric applications; and he has numerous publications on these topics. He is past president of the Statistical Modelling Society, and is currently member of the Executive Committee of this same international professional society. He is coauthor of the book Regression: Models, Methods, and Applications, as well as, the co-editor of the Sage Handbook on Multilevel Modelling.




5 Ebooks von Brian D. Marx

Marc A. Scott & Jeffrey S. Simonoff: The SAGE Handbook of Multilevel Modeling
In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling.   The Handbook …
EPUB
Englisch
DRM
€129.99
Brian D. Marx & Marc A. Scott: SAGE Handbook of Multilevel Modeling
In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the …
PDF
Englisch
DRM
€113.35
Ludwig Fahrmeir & Thomas Kneib: Regression
Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. …
EPUB
Englisch
DRM
€123.12