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D�tails bibliographiques

Titre: Beyond Multiple Linear Regression : Applied Generalized Linear Models and Multilevel Models in R
�diteur: Chapman and Hall/CRC
Date de parution: 2020
Langue: anglais
ISBN � 10 chiffres: 1439885389
ISBN � 13 chiffres: 9781439885383
Reliure: Couverture rigide
�tat de l'article: good

A propos de ce titre

Synopsis

For advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II and courses in Generalized Linear Models, Longitudinal Data Analysis, Correlated Data, Multilevel Models. Material on R at the end of each chapter. Solutions manual for qualified instructors.

� propos de l?auteur

Authors

Paul Roback is the Kenneth O. Bjork Distinguished Professor of Statistics and Data Science and Julie Legler is Professor Emeritus of Statistics at St. Olaf College in Northfield, MN. Both are Fellows of the American Statistical Association and are founders of the Center for Interdisciplinary Research at St. Olaf. Dr. Roback is the past Chair of the ASA Section on Statistics and Data Science Education, conducts applied research using multilevel modeling, text analysis, and Bayesian methods, and has been a statistical consultant in the pharmaceutical, health care, and food processing industries. Dr. Legler is past Chair of the ASA/MAA Joint Committee on Undergraduate Statistics, is a co-author of Stat2: Modelling with Regression and ANOVA, and was a biostatistician at the National Cancer Institute.

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