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Nonparametric regression with long-memory errors

✍ Scribed by R.S. Deo


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
288 KB
Volume
33
Category
Article
ISSN
0167-7152

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✦ Synopsis


The fixed design regression model with long-memory errors is considered. The finite-dimensional asymptotic distributions of the properly normalised kernel estimators of the regression function are shown to be normal when the errors are a linear process.


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This paper studies a class of tests useful for testing the goodness-of-ΓΏt of a regression model when the errors have long memory. These tests are based on a class of empirical processes marked by certain residuals. The paper gives their large sample behavior under null hypotheses. The design variabl