Ronald Christensen

Analysis of Variance, Design, and Regression (eBook, PDF)

Linear Modeling for Unbalanced Data, Second Edition

• Format: PDF

Produktbeschreibung

This second edition focuses on modeling unbalanced data. It presents many new topics, including new chapters on logistic regression, log-linear models, and time-to-event data. It shows how to model main-effects and interactions and introduces nonparametric, lasso, and generalized additive regression models. The text carefully analyzes small unbalanced data by using tools that are easily scaled to big data. R, Minitab®, and SAS codes are available on the author's website.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 636
• Erscheinungstermin: 3. September 2018
• Englisch
• ISBN-13: 9781315362304
• Artikelnr.: 54553075

Autorenporträt

Ronald Christensen is a professor of statistics in the Department of Mathematics and Statistics at the University of New Mexico. Dr. Christensen is a fellow of the American Statistical Association (ASA) and Institute of Mathematical Statistics. He is a past editor of The American Statistician and a past chair of the ASA's Section on Bayesian Statistical Science. His research interests include linear models, Bayesian inference, log-linear and logistic models, and statistical methods.