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Handbook of Regression Methods

1st edition

Book's cover
The cover of “Handbook of Regression Methods” - Open Library.

"Handbook of Regression Methods" is published by Chapman and Hall, CRC Press in July 5, 2017 - Boca Raton, Florida, USA, it has 637 pages and the language of the book is English.


“Handbook of Regression Methods” Metadata:

  • Title: Handbook of Regression Methods
  • Author:
  • Language: English
  • Number of Pages: 637
  • Publisher: Chapman and Hall, CRC Press
  • Publish Date:
  • Publish Location: Boca Raton, Florida, USA

“Handbook of Regression Methods” Subjects and Themes:

Edition Specifications:

  • Format: Hardcover
  • Weight: 2 pounds
  • Dimensions: 6 x 2 x 9 inches
  • Pagination: ➤  xvi, 637 pages : illustrations ; 24 cm.

Edition Identifiers:

AI-generated Review of “Handbook of Regression Methods”:


"Handbook of Regression Methods" Table Of Contents:

  • 1- -Introduction.
  • 2- -Simple Linear Regression.
  • 3- -The Basics of Regression Models.
  • 4- -Statistical Inference.
  • 5- -Statistical Intervals.
  • 6- -Assessing Regression Assumptions.
  • 7- -ANOVA I.
  • 8- -Multiple Linear Regression.
  • 9- -Multiple Regression.
  • 10- -Matrix Notation in Regression.
  • 11- -Indicator Variables.
  • 12- -Multicollinearity.
  • 13- -ANOVA II.
  • 14- -Advanced Regression Diagnostic Methods.
  • 15- -Influential Data Values.
  • 16- -Measurement Errors and Instrumental Variables Regression.
  • 17- -Weighted Least Squares and Robust Regression Procedures.
  • 18- -Correlated Errors and Autoregressive Structures.
  • 19- -Crossvalidation and Model Selection Methods.
  • 20- -Advanced Regression Models.
  • 21- -Biased Regression Methods and Regression Shrinkage.
  • 22- -Piecewise and Nonparametric Methods.
  • 23- -Regression Models with Censored Data.
  • 24- -Nonlinear Regression.
  • 25- -Regression Models with Counts as Responses.
  • 26- -Multivariate Multiple Regression.
  • 27- -Data Mining.
  • 28- -Miscellaneous Topics.
  • 29- -Appendices.

"Handbook of Regression Methods" Description:

The Open Library:

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

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