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Author:

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

Indexed by:

EI Scopus PKU CSCD CSSCI

Abstract:

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.

Keyword:

Maximum likelihood estimation Regression analysis

Author Community:

  • [ 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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Source :

System Engineering Theory and Practice

ISSN: 1000-6788

Year: 2012

Issue: 8

Volume: 32

Page: 1754-1760

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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