Description
| Product ID: | 9781544302072 |
| Product Form: | Hardback |
| Country of Manufacture: | US |
| Series: | Advanced Quantitative Techniques in the Social Sciences |
| Title: | Spatial Regression Models for the Social Sciences |
| Authors: | Author: Guangqing Chi, Jun Zhu |
| Page Count: | 272 |
| Subjects: | Social research and statistics, Social research & statistics, Probability and statistics, Probability & statistics |
| Description: | Select Guide Rating Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data. Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it by connecting it to social science research topics. Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. |
| Imprint Name: | SAGE Publications Inc |
| Publisher Name: | SAGE Publications Inc |
| Country of Publication: | GB |
| Publishing Date: | 2019-07-01 |
