基于角度技术标准,研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。应用方向数据统计方法,从平均方向和合向量长度的概念出发,研究角度单值的分布和移动合向量长度的分布,给出标准值给定和标准值未给定两种情况下...基于角度技术标准,研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。应用方向数据统计方法,从平均方向和合向量长度的概念出发,研究角度单值的分布和移动合向量长度的分布,给出标准值给定和标准值未给定两种情况下角度单值控制图和移动合向量长度控制图的控制限。测算结果表明V on M ises分布M(μ0,k)的刻度参数对控制限的大小起着关键作用。展开更多
现行国际标准和等同采用该标准的中国国家标准中的计量值控制图不能直接用于圆周闭域(0,2π]上的角度统计过程控制。该文研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。基于平均方向和合向量长度的抽样分布,研究...现行国际标准和等同采用该标准的中国国家标准中的计量值控制图不能直接用于圆周闭域(0,2π]上的角度统计过程控制。该文研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。基于平均方向和合向量长度的抽样分布,研究反映角度过程集中程度的合向量长度控制图和反映角度过程集中位置的平均方向控制图。给出子组大小为4时不同的刻度参数所对应的控制图的控制界限,以及平均方向-合向量长度控制图的实施步骤。研究结果使得应用控制图方法解决角度质量控制问题成为可能。展开更多
This paper presents an adaptive rationalized Haar function approximation method to obtain the optimal injection strategy for alkali-surfactant-polymer(ASP) flooding. In this process, the non-uniform control vector par...This paper presents an adaptive rationalized Haar function approximation method to obtain the optimal injection strategy for alkali-surfactant-polymer(ASP) flooding. In this process, the non-uniform control vector parameterization is introduced to convert original problem into a multistage optimization problem, in which a new normalized time variable is adopted on the combination of the subinterval length. Then the rationalized Haar function approximation method, in which an auxiliary function is introduced to dispose path constraints, is used to transform the multistage problem into a nonlinear programming. Furthermore, an adaptive strategy proposed on the basis of errors is adopted to regulate the order of Haar function vectors. Finally, the nonlinear programming for ASP flooding is solved by sequential quadratic programming. To illustrate the performance of proposed method,the experimental comparison method and control vector parameterization(CVP) method are introduced to optimize the original problem directly. By contrastive analysis of results, the accuracy and efficiency of proposed method are confirmed.展开更多
This paper studies estimation in partial functional linear quantile regression in which the dependent variable is related to both a vector of finite length and a function-valued random variable as predictor variables....This paper studies estimation in partial functional linear quantile regression in which the dependent variable is related to both a vector of finite length and a function-valued random variable as predictor variables. The slope function is estimated by the functional principal component basis. The asymptotic distribution of the estimator of the vector of slope parameters is derived and the global convergence rate of the quantile estimator of unknown slope function is established under suitable norm. It is showed that this rate is optirnal in a minimax sense under some smoothness assumptions on the covariance kernel of the covariate and the slope function. The convergence rate of the mean squared prediction error for the proposed estimators is also established. Finite sample properties of our procedures are studied through Monte Carlo simulations. A real data example about Berkeley growth data is used to illustrate our proposed methodology.展开更多
文摘基于角度技术标准,研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。应用方向数据统计方法,从平均方向和合向量长度的概念出发,研究角度单值的分布和移动合向量长度的分布,给出标准值给定和标准值未给定两种情况下角度单值控制图和移动合向量长度控制图的控制限。测算结果表明V on M ises分布M(μ0,k)的刻度参数对控制限的大小起着关键作用。
文摘现行国际标准和等同采用该标准的中国国家标准中的计量值控制图不能直接用于圆周闭域(0,2π]上的角度统计过程控制。该文研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。基于平均方向和合向量长度的抽样分布,研究反映角度过程集中程度的合向量长度控制图和反映角度过程集中位置的平均方向控制图。给出子组大小为4时不同的刻度参数所对应的控制图的控制界限,以及平均方向-合向量长度控制图的实施步骤。研究结果使得应用控制图方法解决角度质量控制问题成为可能。
基金Supported by the National Natural Science Foundation of China(61573378)the Fundamental Research Funds for the Central Universities(15CX06064A)
文摘This paper presents an adaptive rationalized Haar function approximation method to obtain the optimal injection strategy for alkali-surfactant-polymer(ASP) flooding. In this process, the non-uniform control vector parameterization is introduced to convert original problem into a multistage optimization problem, in which a new normalized time variable is adopted on the combination of the subinterval length. Then the rationalized Haar function approximation method, in which an auxiliary function is introduced to dispose path constraints, is used to transform the multistage problem into a nonlinear programming. Furthermore, an adaptive strategy proposed on the basis of errors is adopted to regulate the order of Haar function vectors. Finally, the nonlinear programming for ASP flooding is solved by sequential quadratic programming. To illustrate the performance of proposed method,the experimental comparison method and control vector parameterization(CVP) method are introduced to optimize the original problem directly. By contrastive analysis of results, the accuracy and efficiency of proposed method are confirmed.
基金supported by National Natural Science Foundation of China(Grant No.11071120)
文摘This paper studies estimation in partial functional linear quantile regression in which the dependent variable is related to both a vector of finite length and a function-valued random variable as predictor variables. The slope function is estimated by the functional principal component basis. The asymptotic distribution of the estimator of the vector of slope parameters is derived and the global convergence rate of the quantile estimator of unknown slope function is established under suitable norm. It is showed that this rate is optirnal in a minimax sense under some smoothness assumptions on the covariance kernel of the covariate and the slope function. The convergence rate of the mean squared prediction error for the proposed estimators is also established. Finite sample properties of our procedures are studied through Monte Carlo simulations. A real data example about Berkeley growth data is used to illustrate our proposed methodology.
