针对捷联惯导系统姿态算法分析了一种旋转矢量误差估计模型，并从该模型出发，推导了几种高精度的捷联姿态算法。
An error estimate model of rotation vector was analyzed for the strapdown attitude algorithms. Based on this model, some kinds of high_accuracy strapdown attitude algorithms were deduced.
采用的新模型与算法有：零阻抗支路处理、正交化算法和量测误差估计等。
Some new models and algorithms are used, they are: zero impedance branch, orthogonal transformations, and measurement error estimation etc.
与经典的最小二乘法相比，共优点是能有效地抑制非整次谐波误差对模型参数估计的影响。
Comparing with the least squares method, the advantage of this approach in that the influence of non-integer harmonic errors on the estimate of model parameters has been effectively restricted.
本文利用卡尔曼滤波方法精确地估计圆度误差评定中一阶模型参数。
In this paper, the Kalman filter approach is used to accurately estimate the parameters of first-order model for the evaluation of roundness errors.
估计GM(1,1)模型中的参数通常采用最小二乘准则，而在模型精度检验时又常采用平均相对误差。
Estimation of GM (1, 1) model parameter usually adopts the least square criterion, but test of model precision often USES average relative error criterion.
由于系统方程是时变的，在测量过程中，系统噪声和观测噪声的统计特性等很难精确地估计或测定，事实上很多误差模型都不能简单的设为白噪声。
Because the system equation is changed with time, during the measurement, the statistic character of the system noise and the observation noise cannot be estimated or be determined accurately.
指出子空间信息准则是模型选择的一种新准则，它在一些假设条件下，给出推广误差的一种无偏估计。
Subspace information criterion is a new criterion for model selection, it gives an unbiased estimate for the generalization error under some assumptions.
目的研究部分线性自回归模型中误差矩的估计。
Aim to study the estimates of error moments in partly linear autoregressive models.
本文讨论了部分变量带误差的线性函数关系模型的参数估计问题。
In this paper, the problem of parameters estimation in linear functional relationship model with "error in some variables" is discussed.
在此基础上建立时变序列预测公式及误差估计公式，给出其回归与时变自回归模型。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
在感应电动机无速传感器矢量控制系统中，在负载条件下转子速度估计的精确度对电机内部模型参数误差非常敏感。
The accuracy of the rotor speed estimation in speed sensorless vector control system of induction motor under load is sensitive to parameter errors of the internal machine model.
用含测量误差的线性模型，由植被指数(NDVI)估计稻谷产量。
Using the linear model with measurement error paddy production was estimated by means of NDVI.
因此在第二章，本人用半参数方法提出了协变量测量有误差时的中值回归模型，用它来估计寿命变量的中值。
In the second chapter, I propose semi-parametric estimate to get median regression models with the measured error margin and use it to estimate the mediant of survival data.
结合矢量观测的特点，基于最小模型误差准则给出了一种确定卫星姿态的实时估计算法，称为预测滤波算法。
Considering the character of vector observation, a real time predictive filter based on minimum model error (MME) criterion is presented for satellite attitude estimation.
利用抛物型偏微分方程的极值原理，得到了带跳扩散模型下美式期权价格及最佳实施边界的误差估计。
Using the critical estimates of parabolic type partial differential equation. we obtain the error estimates of price and optimal exercise boundary of American option in a jump-diffusion model.
基于使双向差分误差最小的准则，利用最小二乘原理，本文导出了估计灰色模型参数的一种新计算格式。
On the basis of minimum of bilateral difference errors, a new calculating scheme is deduced for estimating parameters in grey modelling by means of least square.
本文考虑在绝对误差和最小准则下的线性回归模型估计。
This paper considers the estimation in the linear regression model under the criterion of minimizing the sum of absolute errors.
针对所建立的误差模型，分析数据规范化算法在基础矩阵估计中的应用。
On the basis of the error model, the paper also analyzes the application of data normalization algorithm to estimating fundamental matrix.
采用加权的均方误差准则来优化估计模型的参数，实现对测量序列的抗扰最佳估计。
To obtain the best estimation of anti-jamming for measured series, the rule of weighted-square error is introduced to optimize the parameters of estimating model.
我的研究在于为模型最优控制问题提供离散方案，进行误差估计以及设计快速求解算法。
My research concentrates on discretization of model optimal control problem , development of the posteriori error estimator and designment of efficient solver for discrete optimal control problem.
本文给出了线性模型中椭球约束下，误差方差非负二次估计可容许的一个必要条件。
This paper gives a necessary condition for the admissibility of a nonnegative, quadratic estimator for error variance in linear model with respect to restricted ellipsoidal parameter space.
在自适应卡尔曼滤波算法的基础上提出了一种带模型偏差的GPS伪码跟踪误差估计器。
Based on the adaptive Kalman filtering algorithm, an estimator for the GPS PN code tracking error with model bias is proposed.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
The admissibility of non-homogeneous quadratic form estimate of variance on the growth curve model was studied under quadratic loss function.
紧接着，作者把注意力转移到线性模型误差方差的纯序贯区间估计。
After that, the author focus his attention on the pure sequential confidence for the error variance in linear models.
文中给出并证明了在椭球约束条件下线性模型中，误差方差的非负二次估计的可容许性问题的一个必要条件。
The paper raises and proves an essential condition of volumetric property of nonnegative secondary estimation of deviation and variance in linear model.
根据形状误差的评定模型，研究了形状误差的概率分布类型，并据此对形状误差的测量结果不确定度进行估计。
According to the evaluation models of form error, the probability distribution types of form error are researched, and the uncertainty of measurement result of form error is estimated with them.
它能够在线估计虚拟系统噪声的统计特性，从而消除了动态模型线性化误差带来的不良影响。
Owing to estimate the statistics of virtual noise on line, it overcomes the bad affect caused by linearization of nonlinear dynamic model.
它能够在线估计虚拟观测噪声的统计特性，从而克服了观测模型线性化误差带来的不良影响。
Owing to estimating the statistics of virtual noise on line, it overcomes the bad affect caused by linearization of nonlinear observation model.
文中给出了模型参数、模型误差和噪声误差的估计。
The estimations of model parameter, model error and noise error are given.
利用向量误差修正模型可以估计最小风险套期保值比，为投资者综合选择风险最小的套期保值策略提供了现实的、可操作的定量分析工具。
VECM model is helpful to estimate the hedge ratio with minimum risk which provides investors a practical and operable implement to choose hedging approaches.
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