Approximations to the critical values for tests for multiple changes in location models are obtained through permutation tests principle. Theoretical results say that the approximations based on the limit distribution and the permutation distribution of the test statistics behave in the same way in the limit. However, the results of simulation study show that the permutation tests behave considerably better than the corresponding tests based on the asymptotic critical value.
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KTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Sci Life Lab, S-17121 Solna, SwedenKTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Sci Life Lab, S-17121 Solna, Sweden
Ekvall, Markus
Hohle, Michael
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Stockholm Univ, Dept Math, S-10691 Stockholm, SwedenKTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Sci Life Lab, S-17121 Solna, Sweden
Hohle, Michael
Kall, Lukas
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KTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Sci Life Lab, S-17121 Solna, SwedenKTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Sci Life Lab, S-17121 Solna, Sweden
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Univ Wisconsin, Dept Stat, Madison, WI 53706 USA
Columbia Univ, Dept Stat, New York, NY USACarnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15213 USA