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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/4199
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| Title: | Random coefficient regressions: parametric goodness of fit tests |
| Author(s): | Delicado, Pedro F. Romo, Juan |
| Publisher: | Universidad Carlos III de Madrid. Departamento de Estadística |
| Issued date: | Jan-1995 |
| URI: | http://hdl.handle.net/10016/4199 |
| Abstract: | Random coefficient regression models have been applied in different fields during recent years and they are a unifying frame for many statistical models. Recently, Beran and Hall (1992) opened the question of the nonparametric study of the distribution of the coefficients. Nonparametric goodness of fit tests were considered in Delicado and Romo (1994.). In this paper we propose statistics for parametric goodness of fit tests and we obtain their asymptotic distributions. Moreover, we construct bootstrap approximations to these distributions, proving their validity. Finally, a simulation study illustrates our results. |
| Serie / Nº.: | UC3M Working Papers. Statistics and Econometrics 1995-01-01 |
| Keywords: | Goodness of fit Linear regression Random coefficient Parametric empirical processes |
| Appears in Collections: | DES - Working Papers. Statistics and Econometrics. WS
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