Young, D: Handbook of Regression Methods
Language: English
Published by CRC Press, 2017
- Hardcover
- New
Condition: New
£ 166.23
Quantity: 1 available
Add to basketItem description from seller
Derek Young is an assistant professor of statistics at the University of Kentucky. He has over ten years of experience as a statistician, including positions in industry, government, and academia. During this time, he has also taught online courses in re.
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- Title
- Young, D: Handbook of Regression Methods
- Author
- Derek Scott Young (University of Kentucky, Lexington, USA)
- Publisher
- CRC Press
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1498775292
- ISBN 13
- 9781498775298
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.
Features
- Presents a concise overview of a wide range of regression topics not usually covered in a single text
- Includes over 80 examples using nearly 70 real datasets, with results obtained using R
- Offers a Shiny app containing all examples, thus allowing access to the source code and the ability to interact with the analyses
"Synopsis" may belong to another edition of this title.
About the Author
Derek Young is an assistant professor of statistics at the University of Kentucky. He has over ten years of experience as a statistician, including positions in industry, government, and academia. During this time, he has also taught online courses in regression methods for Penn State University and the University of Kentucky. His research interests include (finite) mixture models, tolerance regions, and statistical computing.
"About the title" may belong to another edition of this title.
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