ERRORS-IN-VARIABLES

作品数：29被引量：32H指数：3
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相关领域：理学更多>>
相关作者：程龙生李幼凤甘淑张海邵德盛更多>>
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Effects of errors-in-variables on the internal and external reliability measures
《Geodesy and Geodynamics》2024年第6期568-581,共14页Yanxiong Liu Yun Shi Peiliang Xu Wenxian Zeng Jingnan Liu 
supported by the National Natural Science Foundation of China, Project No. 42174045;under National Key Research and Development Program of China, Project No.2020YFB0505805;the National Natural Science Foundation of China, Project No. 41874012。
The reliability theory has been an important element of the classical geodetic adjustment theory and methods in the linear Gauss-Markov model. Although errors-in-variables(EIV) models have been intensively investigate...
关键词：Weighted least squares Errors-in-variables model Nonlinear adjustment Total least squares Reliability theory 
Algorithms and statistical analysis for linear structured weighted total least squares problem
《Geodesy and Geodynamics》2024年第2期177-188,共12页Jian Xie Tianwei Qiu Cui Zhou Dongfang Lin Sichun Long 
the financial support of the National Natural Science Foundation of China(Grant No.42074016,42104025,42274057and 41704007);Hunan Provincial Natural Science Foundation of China(Grant No.2021JJ30244);Scientific Research Fund of Hunan Provincial Education Department(Grant No.22B0496)。
Weighted total least squares(WTLS)have been regarded as the standard tool for the errors-in-variables(EIV)model in which all the elements in the observation vector and the coefficient matrix are contaminated with rand...
关键词：Linear structured weighted total least SQUARES ERRORS-IN-VARIABLES Errors-in-observations Functional modelmodification Stochastic model modification Accuracyevaluation 
Blind adaptive identification and equalization using bias-compensated NLMS methods
《Science China(Information Sciences)》2022年第5期180-191,共12页Zhen ZHANG Lijuan JIA Ran TAO Yue WANG 
supported in part by National Natural Science Foundation of China(Grant No.41927801)。
In this paper,two new blind adaptive identification and equalization algorithms based on second-order statistics are proposed.We consider a practical case where the noise statistics of each transmission channel is unk...
关键词：blind adaptive identification EQUALIZATION normalized least mean squares algorithm bias compensation ERRORS-IN-VARIABLES 
线性化通用EIV平差模型的岭估计解法
《全球定位系统》2022年第2期82-89,共8页翁烨 邵德盛 甘淑 
李建成院士工作站(2015IC015);国家重点研发计划课题“中国大陆主要活动构造断裂带的分段运动特征研究”(2018YFC1503604).
通用EIV(errors-in-variables)平差模型作为经典平差模型的一般化形式,具有同时顾及多种随机误差的优势.在通用EIV平差模型加权总体最小二乘(WTLS)的线性化估计基础上,引入正则化准则.正则化矩阵为单位矩阵时为岭估计,添加目标函数,通...
关键词：通用EIV(errors-in-variables)模型 总体最小二乘(TLS) 线性化估计 岭估计 L曲线 U曲线 
Robust Nonparametric Function Estimation for Errors-in-variables Models被引量：1
《Acta Mathematicae Applicatae Sinica》2020年第2期314-331,共18页Chao-xia YUAN Heng-jian CUI 
partly supported by the National Natural Science Foundation of China(Grant Nos.1971324,11471223);Capacity Building for Sci-Tech Innovation-Fundamental Scientific Research Funds(No:19530050181);Interdiscipline for Bioinformatics and Statistics and Academy for Multidisciplinary Studies of Capital Normal University,Beijing.
This paper discusses robust nonparametric estimators of location regression function for errorsin-variables model with de-convolution kernel.The local constant smoother is used for the estimation of the nonparametric ...
关键词：ERRORS-IN-VARIABLES de-convolution KERNEL ROBUST LOCAL linear 
Identification of Errors-in-Variables Systems with General Nonlinear Output Observations and with ARMA Observation Noises被引量：1
《Journal of Systems Science & Complexity》2020年第1期1-14,共14页SONG Qijiang HUANG Zhiyong 
supported by the National Natural Science Foundation of China under Grant No.11571362.
This paper concerns the identification problem of scalar errors-in-variables(EIV)systems with general nonlinear output observations and ARMA observation noises.Under independent and identically distributed(i.i.d.)Gaus...
关键词：ARMA noise Α-MIXING binary sensor ERRORS-IN-VARIABLES NONLINEAR OBSERVATION recursive estimate stochastic approximation(SA) strongly consistent system IDENTIFICATION 
Total least-squares EIO model,algorithms and applications
《Geodesy and Geodynamics》2019年第1期17-25,共9页Xingsheng Deng Ge Liu Tao Zhou Sichun Peng 
supported by the Open Fund of Engineering laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province(Changsha University of Science & Technology, Grant No:KFJ150602);Hunan Province Science and Technology Program Funded Projects, China (Grant No:2015NK3035)
A functional model named EIO(Errors-In-Observations) is proposed for general TLS(total least-squares)adjustment. The EIO model only considers the correction of the observation vector, but doesn't consider to correct a...
关键词：ERRORS-IN-VARIABLES Errors-In-Observations WEIGHTED total least SQUARE Parameter estimation ITERATIVE COVARIANCE solution 
Estimation and test of restricted linear EV model with nonignorable missing covariates被引量：1
《Applied Mathematics(A Journal of Chinese Universities)》2018年第3期344-358,共15页TANG Lin-jun ZHENG Sheng-chao ZHOU Zhan-gong 
Supported by the Zhejiang Provincial Natural Science Foundation of China(LY15A010019);National Natural Science Foundation of China(11501250)
This paper deals with estimation and test procedures for restricted linear errors-invariables(EV) models with nonignorable missing covariates. We develop a restricted weighted corrected least squares(WCLS) estimator b...
关键词：errors-in-variables model nonignorable missing data propensity score smoothed empirical likelihood 
圆曲线一般方程的PEIV模型构建及参数求解被引量：1
《北京测绘》2018年第8期974-977,共4页钟水平 
针对圆曲线拟合问题,本文首先以圆曲线的一般方程为基础,建立圆曲线拟合的EIV模型,针对系数矩阵的特点将模型转化为更合理的Partial EIV模型。顾及系数矩阵和观测向量的相关性,构造拉格朗日方程,采用求极值的方法求解模型参数。保证了...
关键词：圆曲线 一般方程 PEIV(Partialerrors-in-variables)模型 总体最小二乘 
Error quantification of the normalized right graph symbol for an errors-in-variables system被引量：2
《Control Theory and Technology》2015年第3期238-244,共7页Lihui GENG Shigang CUI Zeyu XIA 
supported in part by the National Natural Science Foundation of China(Nos.61203119,61304153);the Key Program of Tianjin Natural Science Foundation,China(No.14JCZDJC36300);the Tianjin University of Technology and Education funded project(No.RC14-48)
This paper proposes a novel method to quantify the error of a nominal normalized right graph symbol （NRGS） for an errors- in-variables （EIV） system corrupted with bounded noise. Following an identification framewo...
关键词：Error quantification ERRORS-IN-VARIABLES normalized right graph symbol 
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