| Description |
vi, 69 pages : illustrations ; 22 cm |
| Series |
Quantitative applications in the social sciences ; no. 07-137 |
|
Quantitative applications in the social sciences ; no. 07-137
|
| Contents |
Machine derived contents note: 1. General Introduction -- 2. Introduction to Spline Models -- 3. Splines with Known Knot Locations -- 4. Splines with Unknown Knot Locations -- 5. Splines with an Unknown Number of Knots -- 6. Summary and Conclusions |
| Summary |
"Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, while others will need to determine the number and location of spline knots as part of the estimation process. Through the use of a number of straightforward examples, the authors will show readers how to work with both types of spline knot situations as well as offering practical, down-to-earth information on estimating splines."--Pub. desc |
| Bibliography |
Includes bibliographical references (pages 67-68) |
| Subject |
Regression analysis.
|
|
Social sciences -- Statistical methods.
|
| Author |
Cormier, David R.
|
| LC no. |
2001019807 |
| ISBN |
0761924205 (paperback) |
|
