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Handbook of regression methods

By: Young, Derek S.
Publisher: Boca Raton CRC Press 2017Description: xvi, 637 p.ISBN: 9781498775298.Subject(s): Multivariate analysis | Regression analysis | Multivariate AnalyseDDC classification: 519.536 Summary: Features Provides a comprehensive survey of standard and many non-standard regression topics Has at least one data example for each topic discussed Provides direct formulas and application of regression methods with minimal emphasis on the underlying mathematical details Provides R code for all of the examples Summary 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 https://www.crcpress.com/Handbook-of-Regression-Methods/Young/p/book/9781498775298
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Slot 1428 (0 Floor, East Wing) Non-fiction 519.536 Y6H2 (Browse shelf) Available 197176

Features

Provides a comprehensive survey of standard and many non-standard regression topics
Has at least one data example for each topic discussed
Provides direct formulas and application of regression methods with minimal emphasis on the underlying
mathematical details
Provides R code for all of the examples

Summary

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

https://www.crcpress.com/Handbook-of-Regression-Methods/Young/p/book/9781498775298

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