查询词典 estimation

Assuming the independence (or the weak-correlation) between the reflectivity and wavelet, the optimal estimation equations for the wavelet and reflectivity were derived respectively. Furthermore, pre-conditional conjugate gradient algorithm iteration inversion was applied to realize the simultaneous estimation of reflectivity and wavelet.

基于反射系数与子波相互独立的假设，分别构建了反射系数和子波最优估计方程，并采用预条件共轭梯度法迭代反演实现反射系数和子波的同时估计。

Algorithms describing links between potentially important explanatory variables to estimate fecundity were first established, and these were followed by practical observations in order to validate the method under two extreme situations: 1 straight forward fecundity estimation in a determinate, single-batch spawner: Atlantic herring Clupea harengus and 2 challenging fecundity estimation in an indeterminate, multiple-batch spawner: Japanese flounder Paralichthys olivaceus.

首先确立潜在重要解释性变化与繁殖力间联系的算法，然后是为了确定下面两种情形下使用的方法的实际观察：1）在确定的单次产卵类型中直接的繁殖力估计：大西洋鲱鱼 Clupea harengus 2）确定的分批产卵鱼类竞争性的繁殖估计：日本牙鲆 Paralichthys olivaceus 。

Furthermore that the square measure error is not depending on the choice of generalized matrix inverses is proved. Finally the least square estimation and the maximum likelihood estimation for this model are proposed.

在此基础上对奇异度量误差下的函数关系模型的参数进行估计，得出了模型参数的最小二乘估计和极大似然估计。

Estimation of spectral densities for single and multiple time series. Nonparametric estimation of spectral density, cross-spectral density, and coherency for stationary time series, real and complex spectrum techniques.

时间序列谱分析：单个和多个时间序列的谱密度估计，谱密度的非参数估计，交叉谱密度，静态时间序列的一致性，实时和复杂的谱技术，双频谱Bispectrum。

In this dissertation , the methods of prediction and parameters\' estimation based on stationary multivariate autoregressive models AR(p are studied systematically. Some properties of these methods are formulized.In the first part, it introduce some basal conceptions about multidimensional stationary time series, contained the estimation and property of mean vector and auto-covariance function. Then the stable condition of multidimensional AR models are discussed.

本文主要研究了多维平稳序列自回归模型AR的参数估计及其相关的统计性质，具体内容如下：第一部分，介绍了多维平稳时间序列及其均值向量和协方差阵函数的概念，并引入了多维AR模型及其数字特征，在此基础上给出了模型的平稳性条件。

The empirical mode decomposition method is introduced to extract the trend item of gyro's drift, but the local mean estimation isn't precision and the end effects exist in the conventional EMD method. The two-tap adaptive time-varying filter and the adaptive border estimation are used to modify the EMD. After the trend extraction, the method of time series analysis is used to make the autoregressive moving average model for stationary time series.

根据陀螺漂移的特性，提出采用经验模分解的方法对其趋势项进行提取，但传统的经验模分解方法存在局部均值估值不准，插值过程存在端点效应的问题，因此，本文又引入二拍自适应滤波及自适应边界估值来对原方法加以改进；在成功提取趋势项后，通过采用时间序列的分析方法，建立了陀螺漂移平稳时间序列的自回归滑动平均模型；并得出陀螺漂移模型可近似为常值加一阶马尔可夫过程这样一个结论。

The main contents of this course include: the principles and methods of statistical modeling, the estimation, testing and diagnosis of linear regression model, the theories and analytic methods of time series model, robust estimation theory, a simple introduction of general model and non-parameter model.

本课程的内容有：统计建模的原理与方法、回归模型的估计与检验问题、线性回归模型的诊断分析、时间序列模型的理论与分析方法、稳健估计理论、广义模型与非参数模型简介。

Estimations of effective parameter in heterogeneous media: Firstly, we clarify the concept of the effective parameter and address the problems of parameter estimation by traditional pumping test. Secondly, we present two estimation approaches (i.e., distance-drawdown and spatial moment analyses) for Seff and Teff, which are consistent with Theis' homogeneous aquifer assumption.

本文探讨的内容主要分两大部分：(1)空间异质性孔隙介质有效参数的推估方法：主要探讨内容包括重新思考有效参数的定义及其观念，探讨传统抽水试验推估异质性含水层有效参数的一些问题，其次提出估计异质性地下水系统有效参数两个合理方法：泄降-距离曲线分析和泄降分布的空间矩分析，并以数值实例解释其合理性，文中藉由分析数值模拟的结果探讨说明该问题。

Fist, comprehensive analysis on the current study on data processing is made, and characters of Newton methods about nonlinear surveying and mapping data processing are discussed, and then new solutions to parameters estimate with multi-sources, multi-types, multi-dimension, multi-precision bynonlinear least square are presented such as PSB algorithm, digital continuation and generalized digital continuation algorithm, cone model method, tensor analysis method, GCMA(mixed algorithm of gradient method and conjugate gradient method), combining algorithm based on Newton method and gradient method and confidence region and so on, and a new fast difference iterative algorithm is proposed towards parameters estimation containing random parameters in nonlinear models, and a new solutions to nonlinear least squares surveying and mapping adjustment by parameters estimation both considering the random and nonrandom parameters is presented after studying on nonlinear data processing in deformation monitoring, and at last primary analysis on error propagation of spatial data is made and approximate error propagation formula and error analysis formula to length and area are proposed.

首先比较全面分析了目前测量数据处理理论的研究现状，讨论了牛顿类方法在处理非线性模型参数估计方面的特点，研究并给出了求解多源、多类型、多维、多精度、非线性最小二乘测量平差参数估计的若干种新方法，这包括PSB算法、数值延拓及其广义数值延拓算法、锥模型法、张量分析法、基于最速下降法和牛顿法的组合算法、基于最速下降

Burg maximum entropy spectral estimation theory of modern spectral estimation is introduced in this paper, and the PSD is simulated by VC ++.

介绍了现代功率谱估计中的Burg算法最大熵谱估计的基本原理，并采用VC++语言对功率谱密度进行了仿真。

Now she was hungry and angry.She began to smoulder.

现在她又饿又气，她开始流露难以抑制的怒火。

You have placed our iniquities before You, Our secret sins in the light of Your presence.

诗90：8 你将我们的罪孽摆在你面前、将我们的隐恶摆在你面光之中。