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2014 | OriginalPaper | Chapter

15. Comparison of Autoregressive Curves Through Partial Sums of Quasi-Residuals

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Abstract

This chapter discusses the problem of testing the equality of two nonparametric autoregressive functions against two-sided alternatives. The heteroscedastic error and stationary densities of the two independent strong mixing strictly stationary time series can be possibly different. The chapter adapts the partial sum process idea used in the independent observations settings to construct the tests and derives their asymptotics under both null and alternative hypotheses. Then, a Monte Carlo simulation is conducted to study the finite sample level and power behavior of these tests at both fixed and local alternatives.

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Metadata
Title
Comparison of Autoregressive Curves Through Partial Sums of Quasi-Residuals
Author
Fang Li
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-02651-0_15

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