Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)

Roback, Paul, Legler, Julie

ISBN 10: 1439885389 / ISBN 13: 9781439885383

Edité par Chapman and Hall/CRC, 2020

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Détails bibliographiques

• Titre: Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
• Éditeur: Chapman and Hall/CRC
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 1439885389
• ISBN à 13 chiffres: 9781439885383
• Reliure: Hardcover
• Édition: 1st Edition.
• État de l'article: New

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.

À 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.