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Data driven rank statistics in change point analysis

Publication at Faculty of Mathematics and Physics |
2009

Abstract

The paper deals a class of rank based procedures for detection of changes with adaptively chosen scores. This is a certain continuation of the paper Antoch et al (2008).

The limit behavior of the test procedures is studied both under the null as well as under a general class of alternatives. Accompanying simulation study focuses on various alternatives which are often met in practice.