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Handbook of regression methods

By: Publication details: CRC Press 2017 Boca RatonDescription: xvi, 637 pISBN:
  • 9781498775298
Subject(s): DDC classification:
  • 519.536 Y6H2
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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Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad General Stacks Non-fiction 519.536 Y6H2 (Browse shelf(Opens below)) Available 197176
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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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