parametric model estimation 参量模型估计 non-parametric Bayesian estimation 非参数贝叶斯估计 ..
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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。
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。
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。
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