Description
| Product ID: | 9781452205663 |
| Product Form: | Hardback |
| Country of Manufacture: | US |
| Title: | Applied Regression Analysis and Generalized Linear Models |
| Authors: | Author: John Fox |
| Page Count: | 816 |
| Subjects: | Research methods: general, Research methods: general, Probability and statistics, Probability & statistics |
| Description: | Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research. Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book. Accompanying website resources containing all answers to the end-of-chapter exercises. Answers to odd-numbered questions, as well as datasets and other student resources are available on the author''s website. NEW! Bonus chapter on Bayesian Estimation of Regression Models also available at the author''s website. |
| Imprint Name: | SAGE Publications Inc |
| Publisher Name: | SAGE Publications Inc |
| Country of Publication: | GB |
| Publishing Date: | 2015-05-26 |
