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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/4199

Google™ Scholar. Others By: Delicado, Pedro F. - Romo, Juan
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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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