The problem of the parametric estimation on a convolutional model is discussed.
讨论褶积模型参数估计问题。
The kernel regression method now is the most popular non-parametric estimation method.
核回归方法是比较常用的一种非参数估计方法。
Based on EM approach of right dock, it gives out parametric estimation of accelerated life testing in linear model.
基于右截尾的EM算法，给出了恒加试验线性模型的参数估计，并结合加速方程得到了产品的寿命估计。
Even if you have parametric estimation models, the early prototyping effort will help you to validate the parametric estimates.
即使您拥有了参数评估模型，早期的原型成果同样可以帮助您验证这个参数评估。
Several operations such as crossover and mutation are combined so as to improve the convergence rate in the process of parametric estimation.
方法中引入几种交叉和变异算子同时操作，大大提高了辨识效率和辨识精度。
It introduces the method to measure change rate of TFP from two points of view: parametric estimation method and non-parametric estimation method.
从参数方法和非参数方法两个角度对全要素生产率变化率的测度方法进行了总结。
It is difficult to obtain the fitted results by using the analysis method and graph estimation when making complex probability parametric estimation.
以解析法和图形估计法进行复杂概型参数估计有时难以得到优良的拟合结果，为此提出复杂疲劳概型参数估计方法。
The estimate of QPEs is roughly obtained by use of the Discrete Polynomial-Phase Transform(DPT), then it is refined by a RELAX-based parametric estimation method.
相位误差的粗估计采用离散多项式相位变换（DPT）方法，而误差精估计则基于RELAX类算法。
The paper applied the information diffusion model of non-parametric estimation to project the level of productivity risks for cereals, rice, corn and wheat at major grain-producing area.
本文采用非参数估计的信息扩散模型测算了我国粮食主产区水稻、玉米、小麦和棉花产量损失风险水平。
Taking into account the multi channels disturbance and noises with the non stationary characteristic, time delay estimation based on adaptive parametric approach is proposed.
在考虑多通道非平稳信号干扰及背景噪声的情况下，提出了基于自适应参数型时间延时估计方法。
Parameter estimation in dynamical systems, example : least squares fitting of rate constants from batch reactor data, parametric sensitivity analysis.
动态系统之参数估算，范例：利用批式反应器数据做速率常数之最小平方配适，参数灵敏度分析。
Meanwhile, the estimation formulas of bounds for delays and parametric perturbation are given.
同时，给出了扰动参数与滞后非线性项界线的估计公式。
In this paper, empirical Euclidean likelihood ratio statistics are constructed for parametric in a nonlinear model. And prove strong consistency and asymptotic normality of the estimation.
本文构造了非线性模型中参数的经验欧氏似然比统计量，并证明了该似然估计的强相合性和渐近正态性。
This dissertation also does research on the application in estimation of communication signals' carrier offset and symbol rate with the parametric statistical method.
本文还研究了参数统计方法在估计通信信号的载波频偏和码元速率中的应用。
To the different problems in practice, three main aspects are involved in this paper: the estimation of motion vector field, the parametric tracking model of lv and probability tracking model of lv.
针对实际应用的不同侧重点，本文核心内容包括三方面：LV的运动矢量场估计、LV参数化运动跟踪模型和LV的概率跟踪模型。
Taking into account the noises correlated with signals, multipath time delay estimation based on adaptive parametric approach using third-order cumulants is proposed in this paper.
在存在背景噪声干扰的情况下，本文提出了一种基于三阶累积量的自适应参数型多径时延估计方法。
A kind of robust pitch estimation algorithm is presented for parametric speech coding with transparent quality at very low bit rate.
为了实现甚低码率下的透明质量语音编码，提出了一种基音周期估计算法。
Objective Propose a method that combines the propensity score approach and non-parametric survival analysis for hazard ratio estimation in non-randomized medical researches.
目的提出一种适用于非随机化医学研究的，结合倾向指数与非参数生存分析估计风险比的方法。
Meanwhile, the estimation formulas of bounds for delays and parametric perturbation a...
同时，给出了扰动参数与滞后非线性项界线的估计公式。
With bispectrum analysis, an ar model parametric bispectrum estimation is presented for radar target echoes.
本文利用双谱分析方法，提出用非高斯ar模型对雷达目标回波信号进行参数化双谱估计。
The disadvantages were that this method was based on assumptions on the model: point estimation based on parametric assumption and some properties of error components.
但是这种方法也有不足之处，就在于它对模型有一些弱的假定点估计依赖于误差因子与模型参数的假定，密度估计依赖于误差因子特征函数的假定。
The disadvantages were that this method was based on assumptions on the model: point estimation based on parametric assumption and some properties of error components.
但是这种方法也有不足之处，就在于它对模型有一些弱的假定点估计依赖于误差因子与模型参数的假定，密度估计依赖于误差因子特征函数的假定。
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