应用确定型的时间序列分解法乘法模型与随机型的arma模型相结合，建立重庆市主城区人口死亡率的时间序列模型。
Combined with certain type time series recount multiplicity model and random type ARMA model, establish the time series model of the death rate in Chongqing urban area.
基于一般的流量三角形，我们在第二章中提出了乘法模型及边际和估计，并证明了在该模型下，参数的边际和估计就是链梯法估计。
Based on generalized run-off triangle, we introduce multiplicative model and its marginal-sum estimation in chapter 2. We get that the marginal-sum estimation is the chain ladder estimation.
分析了激光成像雷达系统中所成的散斑像的乘法模型 ，并在此基础上利用一基于小波的同态滤波器对被散斑污染的图像进行了消噪处理。
In this paper, multiplication model of speckle image in imaging lidar is analyzed, and then suppression processing for the speckle image is finished by homomorphic wavelet filter.
结论采用非线性最小二乘法拟合释药动力学方程得到的理论值更接近真实值，说明由非线性最小二乘法模型嵌合通用程序得到的动力学方程能准确表征微丸的释药动力学。
CONCLUSION the theoretical values obtained by non-linear least square model fit program is near to the test values. The theoretical equations can describe accurately the release kinetics of pellets.
利用递推最小二乘法进行了系统系数辨识，并引入遗忘因子以提高TCS的模型跟踪性能。
System parameters were identified by adapting recursion least square method, and the forgetting factor was introduced to improve the model tracing ability of TCS.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
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.
通过阶跃响应实验法，利用最小二乘法建立燃气机热泵蒸发器—电子膨胀阀系统的过热度响应动态模型。
The step response method of the outlet superheat of evaporator is measured by conducting experiments, and dynamic model of EEV is established by LSE (least square estimation).
模型的基本原理是最小二乘法。
利用核函数法和广义最小二乘法给出了一般变系数ev模型系数参数的估计，得到了估计的强相合性。
In this paper, the estimation of coefficient functions in a varying-coefficients EV model are constructed by using kernel smoothing and generalized least square method.
以二元件均衡器为链接模型，以非线性最小二乘法为最优化方式，解决了多节均衡器链接中初始参数值的选取问题。
Taking two-element equalizer as a link model, taking nonlinear least square method as optimum mode, selection problem of initial parameters in multiple node equalizer links is solved.
针对控制模型的特点，利用最小二乘法和RBF神经网络构造了二次辨识的在线辨识算法。
An online identification algorithm was constructed using the least squares method and an RBF neuro network.
本文基于非参数回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。
Based on the locally kernel weighted least squares fit of the nonparametric regression models, this paper presents the nonparametric testing method for nonlinear cointegration.
例举了乘法回归模型的材积方程的应用实例。
Examples on volume equation of multiplicative regression model are illustrated.
根据采集数据的特点，采用广义最小二乘法标定模型。
According to the characteristics of data collection, generalized least squares method was used to calibrate model.
应用需求函数理论对我国及全国西部的城镇居民需求进行分析，运用最小二乘法建立了单方程需求函数模型。
In this article we applied demand function theory to analyze demand of the whole nation people and the people of Chinese Towns in west, and establish single demand function Model.
模型中的参数估计采用非线性最小二乘法。
The parameters are estimated with non linear least square method.
然后讨论了K~*TDG模型的两种基本运算：加法和乘法。
Then two basic operations of K*TDG are discussed: addition and multiplication.
利用最小二乘法估计反射模型参量，得到物体表面反射光强公式。
The reflectance parameters are determined by using the least-square-method, and the surface reflected model is obtained.
利用该方法对非线性频响函数进行估计，并利用了最小二乘法对模型的非线性刚度系数和非线性阻尼系数进行了优化。
By which linear and nonlinear frequency response function was estimated, and nonlinear stiffness coefficient and damping coefficient of the model were optimized by least square method in this paper.
模型结构采用AIC准则法和逐步回归筛选法综合确定，模型参数采用最小二乘法估计。
The model structure is determined by AIC and stepbystep regression arithmetic, parameters of the model are estimated by the least square method.
自动驾驶仪的增益设计成滚动速率和动压的函数，用最小二乘法曲线拟合，为每个增益选择数学模型。
The autopilot gains are scheduled as functions of the dynamic pressure and the roll rate, the model is selected for each gain by a least squares curve fitting.
本文研究了线性回归模型中的参数估计问题，运用最小二乘法进行参数估计的数学分析基础。
This article researches the coefficient estimating problem of the linear regression model and the math analysis foundation of the least squares estimation applying in the coefficient estimating.
建立回归模型一般使用最小二乘法，但在某些场合建立最小最大化准则回归模型更有意义。
In general, the least square method is used to build regress model, but on some occasions, it is more significant to build the least most rule regress model.
运用广义最小二乘法研究了一类半线性模型中的参数、函数的估计量问题，并证得估计量的一致性结果。
The estimators problem of parameters and functions in Semi-Linear Model were studied by Generalized Least Square method. The agreement between parameters and functional estimators was then presented.
还建立了基于最小二乘法曲线拟合与指数平滑法的需求量预测模型。
Additionally, a model of demand forecast, which bases on methods of least square and exponential smoothing, also be made.
文中讨论了一般乘法回归模型的对数改正系数和未校正预测值的相对偏差，提出了对数改正系数的合并问题。
Descusses the logarithmic correction factors of general multiplicative regression model and percent bias of unadjusted predicted value. The pool of correction factors is proposed.
本文建立了用最小二乘法评定复杂曲面面轮廓度误差的通用数学模型。
In this paper, a general mathematic model of profile error of complex surfaces is proposed with the least squares evaluation.
以使用铂热电阻的计算机测温系统为例，给出了利用最小二乘法求取系统模型参数的方法。
Taking computer temperature measuring system with platinum RTD as an example, the author puts forward a method for obtaining system model parameters by using the least square.
采用线性畸变模型，由最小二乘法解线性方程组得到摄像系统畸变模型的畸变系数。
Linear distortion model is used and distortion coefficients are obtained by resolving over-determined linear equations and least square method.
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