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潜周期模型在周期型随机数据的数值微分中的应用研究
引用本文:马新生,胡斌.潜周期模型在周期型随机数据的数值微分中的应用研究[J].南昌大学学报(工科版),2011,33(2):200-204.
作者姓名:马新生  胡斌
作者单位:南昌大学数学系,江西南昌,330031
基金项目:国家自然科学基金资助项目(30970597); 江西省自然科学基金资助项目(2007GZS2398)
摘    要:从统计角度给出了一种周期型随机数据的数值微分的新方法。采用经典求解数值微分的思想,利用潜周期模型拟合离散的周期型随机观测数据,将拟合模型的导数作为随机数据的导数估计。基于随机逼近理论讨论了导数估计的存在惟一性,在对误差性质进行分析的基础上,利用极限理论证明了估计的相合性。

关 键 词:潜周期模型  导数估计  误差估计

Research on Derivative Estimation of Periodic Random Data with Hidden Periodical Model
MA Xin-sheng,HU Bin.Research on Derivative Estimation of Periodic Random Data with Hidden Periodical Model[J].Journal of Nanchang University(Engineering & Technology Edition),2011,33(2):200-204.
Authors:MA Xin-sheng  HU Bin
Affiliation:MA Xin-sheng,HU Bin(Department of Mathematics,Nanchang University 330047,China)
Abstract:In this paper,a new method of the differentiation of a kind of periodic random data from the viewpoint of statistics was proposed.The observed random data was fit with the hidden periodical model(HPM),and the derivative of HPM as the estimation of the derivative of the function of the real data was used,which follows the common ideal of interpolating numerical differentiation.The existence and the uniqueness of the estimation based on the theory of random approximation were discussed,and which proved the co...
Keywords:hidden periodical model  derivative estimation  error estimation  
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