Book

(Figure: Book cover)

My 2017 textbook Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods.  The handbook provides a broad overview of regression models, diagnostic procedures, and inference procedures, with emphasis on how these methods are applied.  The organization of the handbook benefits both practitioners and researchers, who seek either to obtain a quick understanding of regression methods for specialized problems or to expand their own breadth of knowledge of regression topics.  This handbook covers classic material about simple linear regression and multiple linear regression, including assumptions, effective visualizations, and inference procedures. It presents an overview of advanced diagnostic tests, remedial strategies, and model selection procedures.  Finally, many chapters are devoted to a diverse range of topics, including censored regression, nonlinear regression, generalized linear models, and semiparametric regression.  This textbook includes over 80 examples using nearly 70 real datasets, with results obtained using R.  I have also launched a Shiny app (https://horm.as.uky.edu), which contains all of the examples that are presented in the textbook.  This allows for easy accessibility to the source code and the ability to interact with the analyses.

My textbook can be purchased directly through CRC Press, Amazon, as well as other outlets.

An author video recorded at the 2018 Joint Statistical Meetings can be viewed here.

An errata document for the textbook is located here.  Please contact me at my email (derek.young@uky.edu) to report any additional errors discovered in the textbook.