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Regression Models, Methods and Applications  Cover Image E-book E-book

Regression [electronic resource] : Models, Methods and Applications / by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian Marx.

Fahrmeir, Ludwig. (author.). Kneib, Thomas. (author.). Lang, Stefan. (author.). Marx, Brian. (author.). SpringerLink (Online service) (Added Author).

Record details

  • ISBN: 9783642343339
  • Physical Description: XIV, 698 p. 204 illus. online resource.
  • Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2013.
Subject: Statistics.
Epidemiology.
Bioinformatics.
Statistical methods.
Mathematical statistics.
Economics > Statistics.
Econometrics.
Statistics.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Statistical Theory and Methods.
Econometrics.
Biostatistics.
Bioinformatics.
Epidemiology.

Electronic resources


Introduction
Regression Models
The Classical Linear Model
Extensions of the Classical Linear Model
Generalized Linear Models
Categorical Regression Models
Mixed Models
Nonparametric Regression
Structured Additive Regression
Quantile Regression
A Matrix Algebra
B Probability Calculus and Statistical Inference
Bibliography
Index.

Additional Resources