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Modified tests for variance changes in autoregressive regression

机译:自回归回归中方差变化的修正检验

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摘要

In this paper, we consider the problem of testing for variance changes in the linear autoregressive processes including AR(p) processes meanwhile autoregressive parameters shifts occur. In performing a test, we employ the conventional residual CUSUM of squares test (RCUSQ) statistic. The RCUSQ test is based on the bootstrap method introduced to eliminate the influence caused by the autoregressive parameters shifts. It is shown that under regularity conditions, the test statistic behaves asymptotically the function of a standard Brownian bridge. Simulation results as to AR(1) processes and an example of real data analysis are provided for illustration.
机译:在本文中,我们考虑测试包括AR(p)在内的线性自回归过程中方差变化的问题,同时发生自回归参数移位。在执行测试时,我们采用了常规的残差平方和(RCUSQ)统计量。 RCUSQ测试基于引入的自举方法,以消除由自回归参数移位引起的影响。结果表明,在规则条件下,检验统计量渐近地表现为标准布朗桥的功能。为了说明,提供了有关AR(1)过程的仿真结果和实际数据分析的示例。

著录项

  • 来源
    《Mathematics and computers in simulation》 |2011年第6期|p.1099-1109|共11页
  • 作者

    Hao Jin; Jinsuo Zhang;

  • 作者单位

    Mining Engineering Postdoctoral, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, PR China,School of Sciences, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, PR China;

    Research Center for Energy Economics and Management, Xi 'an University of Science and Technology, Xi 'an, Shaanxi 710054, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    bootstrap; variance changes; autoregressive parameters shifts; RCUSQ test;

    机译:引导程序方差变化;自回归参数移位;RCUSQ测试;
  • 入库时间 2022-08-18 03:29:09

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