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二次损失下Guass-Markov非线性模型系数的Minimax随机优化模型

Under the Quadratic Funtion the Gauss-Markov nolinear Model's Coffienient of Minimax Stocheastic Optimization Model
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摘要 本文借用线性模型系数的Minimax估计方法,在二次损失函数下运用随机优化理论对Gua.ss-Markov非线性模型的系数进行了研究,建立了非线性模型系数Minimax估计的随机优化模型. Under the quadratic loss function,this paper used the linear model's coefficient of Minimax estimation method and studied the nonlinear Gauss-Markov model's cofficient by applying the theory of stochastic optimal and set up nonlinear model's coefficients of Minimax estimate of stocheastic optimization model.
出处 《数学的实践与认识》 CSCD 北大核心 2013年第21期212-216,共5页 Mathematics in Practice and Theory
基金 国家自然科学基金项目资助(11171095) 衡阳师范学院教研项目资助(jy201115) 湖南省‘十二五'重点建设学科"运筹学与控制论"项目资助(湘教发[2011]76号)
关键词 MINIMAX估计 随机优化 二次损失函数 Minimax estimator stocheastic optimization the quadatic loss function
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参考文献7

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