Handbook of Regression Methods
Original price was: ₹11,308.50.₹9,046.80Current price is: ₹9,046.80.
ISBN: 9781498775298
Author/Editor: Derek S Young
Publisher: CRC Press
Year: 2017
1 in stock (can be backordered)
Description
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
Additional information
| Weight | 1 kg |
|---|
Product Properties
| Year of Publication | 2017 |
|---|---|
| Table of Contents | Introduction. Simple Linear Regression. The Basics of Regression Models. Statistical Inference. Statistical Intervals. Assessing Regression Assumptions. ANOVA I. Multiple Linear Regression. Multiple Regression. Matrix Notation in Regression. Indicator Variables. Multicollinearity. ANOVA II. Advanced Regression Diagnostic Methods. Influential Data Values. Measurement Errors and Instrumental Variables Regression. Weighted Least Squares and Robust Regression Procedures. Correlated Errors and Autoregressive Structures. Crossvalidation and Model Selection Methods. Advanced Regression Models. Biased Regression Methods and Regression Shrinkage. Piecewise and Nonparametric Methods. Regression Models with Censored Data. Nonlinear Regression. Regression Models with Counts as Responses. Multivariate Multiple Regression. Data Mining. Miscellaneous Topics. Appendices. |
| Author | Derek S Young |
| ISBN/ISSN | 9781498775298 |
| Binding | Hardback |
| Edition | 1 |
| Publisher | CRC Press |
You must be logged in to post a review.
Reviews
There are no reviews yet.