Handbook of regression methods
Publication details: CRC Press 2017 Boca RatonDescription: xvi, 637 pISBN:- 9781498775298
- 519.536 Y6H2
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Book | Ahmedabad General Stacks | Non-fiction | 519.536 Y6H2 (Browse shelf(Opens below)) | Available | 197176 |
Browsing Ahmedabad shelves, Shelving location: General Stacks, Collection: Non-fiction Close shelf browser (Hides shelf browser)
519.536 R4R6 Robust nonlinear regression: with application using R | 519.536 R6M8 Multiple regression: a practical introduction | 519.536 T2M2 The manga guide to regression analysis | 519.536 Y6H2 Handbook of regression methods | 519.537 H5M8 Multiple correspondence analysis for the social sciences | 519.537 W4S7 Spatio-temporal statistics with R | 519.538 F2E9-2016 Extending the linear model with R: generalized linear, mixed effects and non parametric regression models |
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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