In this Present book Chapter ¿ I is an introductory one. It contains general introduction about the selection of regressors for the linear models. Chapter ¿ II deals with the model selection measures using R square and statistics. It explains properties of these statistics and the relationships between them. Chapter ¿ III describes the criteria for model selection proposed by Mallows (1973) and Amemiya (1990). The generalized mean squared error criterion is also explained in this chapter. Chapter ¿ IV presents different measures for selecting regressors. It deals with step wise regression methods and stopping rules. Several references regarding the criteria for model selection have been presented under a title ¿BIBLIOGRAPHY¿.
| Autorius: | A. Jyothi Babu, Balasiddamuni Pagadala, Y. Chandra Sekhar, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2014 |
| Knygos puslapių skaičius: | 64 |
| ISBN-10: | 3659505498 |
| ISBN-13: | 9783659505492 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Measures For Selecting Regressors: Variables Selection“
