Parameter Estimations of Semi-Parametric Linear Regression Models Using Simulated Annealing Algorithm

ZHENG Guo-qing,ZHANG Guo-quan

doi:10.7671/j.issn.1001-411X.2006.02.030

Journal of South China Agricultural University > 2006 > 27(2): 115-117. > DOI: 10.7671/j.issn.1001-411X.2006.02.030

ZHENG Guo-qing,ZHANG Guo-quan. Parameter Estimations of Semi-Parametric Linear Regression Models Using Simulated Annealing Algorithm[J]. Journal of South China Agricultural University, 2006, 27(2): 115-117. DOI: 10.7671/j.issn.1001-411X.2006.02.030

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Parameter Estimations of Semi-Parametric Linear Regression Models Using Simulated Annealing Algorithm

ZHENG Guo-qing,ZHANG Guo-quan

College of Science,South China Agric. Univ. ,Guangzhou 510642,China

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Received Date: March 24, 2005

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A simulated annealing algorithm for the generalized semi-parametric maximum likelihood estimator is proposed along with techniques to reduce amount of computation. An example is used to demonstrate the usage of the new algorithm while applying to the multiple linear regression models.
- generalized likelihood,
- simulated annealing algorithm,
- semi-parametric models,
- running cost

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Parameter Estimations of Semi-Parametric Linear Regression Models Using Simulated Annealing Algorithm

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