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Serial autoregression rank score statistics

Publication at Faculty of Mathematics and Physics |
2007

Abstract

This paper constructs a class of tests for the models with nuisance autoregression, based on serial regression and autoregression rank score statistics. Among the applications, we illustrate the tests of AR(p) against AR(p + 1) dependence, rank-based versions of the Durbin-Watson test, and detection of the presence of random components in AR processes.