| Description |
xxiv, 717 pages : illustrations ; 26 cm |
| Contents |
Machine derived contents note: Preface; 1. In the beginning; 2. Basic notations of statistics; 3. Choosing; 4. Paradigms of choice data; 5. Processes in setting up stated choice experiments; 6. Choices in data collection; 7. Nlogit for applied choice analysis: a primer; 8. Handling choice data; 9. Case study: model choice data; 10. Getting started modelling: the workhorse - MNL; 11. Getting more from your model; 12. Practical issues in the application of choice models; 13. Allowing for similarity of alternatives; 14. Nested logit estimation; 15. The mixed logit model; 16. Mixed logit estimation; Nlogit terms and commands; References; Index |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Decision making -- Mathematical models.
|
| Author |
Greene, William H., 1951-
|
|
Rose, John M.
|
|
MyiLibrary.
|
| LC no. |
2005283901 |
| ISBN |
0521605776 (paperback) |
|
0521844266 (cased) |
|
9780521605779 (paperback) |
|
9780521844260 (cased) |
|
