Parameter Estimations of Semi-Parametric Linear Regression Models Using Simulated Annealing Algorithm
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O213.2

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    Abstract:

    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.

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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

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  • Received:March 25,2005
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