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作者:

Wu, Liu-Cang (Wu, Liu-Cang.) | Zhang, Zhong-Zhan (Zhang, Zhong-Zhan.) (学者:张忠占) | Xu, Deng-Ke (Xu, Deng-Ke.)

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摘要:

In many applications, particularly in the econometric area and industrial quality improvement experiments, there is a great need to model the variance. A unified procedure was proposed to simultaneously select significant variables in joint mean and variance models which provide a useful extension of the classical normal regression models. It is further shown that the presented penalized estimator enjoys the consistency and the oracle property. Simulation and practice show that this model and method are useful and effective.

关键词:

Maximum likelihood estimation Regression analysis

作者机构:

  • [ 1 ] [Wu, Liu-Cang]College of Applied Sciences, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wu, Liu-Cang]Faculty of Science, Kunming University of Science and Technology, Kunming 650093, China
  • [ 3 ] [Zhang, Zhong-Zhan]College of Applied Sciences, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Xu, Deng-Ke]College of Applied Sciences, Beijing University of Technology, Beijing 100124, China

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来源 :

System Engineering Theory and Practice

ISSN: 1000-6788

年份: 2012

期: 8

卷: 32

页码: 1754-1760

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WoS核心集被引频次: 0

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ESI高被引论文在榜: 0 展开所有

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