Nonparametric Analysis of Longitudinal Data in Factorial Experiments - Couverture rigide

Livre 185 sur 354: Wiley Series in Probability and Statistics

Brunner, E.; Etc.

 
9780471441663: Nonparametric Analysis of Longitudinal Data in Factorial Experiments

Synopsis

Adequate methods for evaluating longitudinal data are vital to such fields as medical research and the biological and social sciences. Emphasizing the advantages of using nonparametric methods in statistical procedures, this volume defines the methods and shows their practical procedures. Using numerous examples, it introduces systematic models and describes procedures for their analyses.

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À propos de l?auteur

EDGAR BRUNNER is Head of the Department of Medical Statistics at the University of Gottingen, Germany. SEBASTIAN DOMHOF is Assistant Professor in the Department of Medical Statistics at the University of Gottingen, Germany. FRANK LANGER is a Statistician at Lilly Deutschland GmbH, Bad Homburg, Germany.

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