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Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R - Paperback

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Availability:In StockContributor:Paul Roback, Julie LeglerSeries:Chapman & Hall/CRC Texts in Statistical SciencePublish date:2024-05-27Pages:418
Language:EnglishPublisher:CRC PressISBN-13:9780367680442ISBN-10:367680440UPC:9780367680442Book Category:MathematicsBook Subcategory:Linear & Nonlinear Programming, Probability & StatisticsBook Topic:Regression AnalysisSize:9.21 x 6.14 x 0.89 inchesWeight:1.3404Product ID:SCAZFP0TSX

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R

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.

Series: Chapman & Hall/CRC Texts in Statistical Science
Language:EnglishPublisher:CRC PressISBN-13:9780367680442ISBN-10:367680440UPC:9780367680442Book Category:MathematicsBook Subcategory:Linear & Nonlinear Programming, Probability & StatisticsBook Topic:Regression AnalysisSize:9.21 x 6.14 x 0.89 inchesWeight:1.3404Product ID:SCAZFP0TSX

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...

Publisher: CRC Press

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