A nonparametric test for serial independence of regression errors
Authors: M. delgado1; J. Mora2
Source: Biometrika, Volume 87, Number 1, 1 March 2000 , pp. 228-234(7)
Publisher: Oxford University Press
Abstract:
A test for serial independence of regression errors is proposed that is consistent in the direction of serial dependence alternatives of first order. The test statistic is a function of a Hoeffding-Blum-Kiefer-Rosenblatt type of empirical process, based on residuals. The resultant statistic converges, surprisingly, to the same limiting distribution as the corresponding statistic based on true errors.Keywords: Empirical process based on residuals; Hoeffding-Bl
Document Type: Original article
Affiliations: 1: Departamento de Estadistica y Econometria, Universidad Carlos III de Madrid, Calle Madrid 126, Getafe, E-28903 Madrid, Spain 2: Departamento de Fundamentos del Análisis Económico, Universidad de Alicante, Apartado de Correos 99, E-03080 Alicante, Spain
Publication date: 2000-03-01
- In this: publication
- By this: publisher
- In this Subject: Biology , Public Health
- By this author: M. delgado ; J. Mora

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