Acta Mathematicae Applicatae Sinica, English Series

, Volume 23, Issue 3, pp 439–450

A Score Type Test for General Autoregressive Models in Time Series

Authors

    • College of Statistics and MathematicsZhejiang Gongshang University
  • Li-xing Zhu
    • Hong Kong Baptist University
    • East China Normal University
Original Papers

DOI: 10.1007/s10255-007-0384-1

Cite this article as:
Wu, J. & Zhu, L. Acta Mathematicae Applicatae Sinica, English Series (2007) 23: 439. doi:10.1007/s10255-007-0384-1

Abstract

This paper is devoted to the goodness-of-fit test for the general autoregressive models in time series. By averaging for the weighted residuals, we construct a score type test which is asymptotically standard chi-squared under the null and has some desirable power properties under the alternatives. Specifically, the test is sensitive to alternatives and can detect the alternatives approaching, along a direction, the null at a rate that is arbitrarily close to n−1/2. Furthermore, when the alternatives are not directional, we construct asymptotically distribution-free maximin tests for a large class of alternatives. The performance of the tests is evaluated through simulation studies.

Keywords

Autoregressive modelgoodness-of-fitmaximin testmodel checkingscore type testtime series

2000 MR Subject Classification

62F0562H15

Copyright information

© Springer-Verlag Berlin Heidelberg 2007