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1·But the methods of estimation of parameter of the GARCH models, BHHH and GMM, may become invalid because they usually meet the situation that the middle data fluctuate greatly.

而GARCH模型参数估计的主要方法BHHH算法和广义矩方法在实际运算中常遇到中间数据震荡从而导致算法整体失效等。

2·So firstly to get a better estimation of parameter using iterate inversion on wide scale, then using this estimation as initial value on mini scale till to get global optimum of original problem.

因此可先在粗尺度上迭代反演，得到一个较好的参数估计，再将这个估计作为较精细尺度的初值进行反演，直至原问题的全局最优解。

3·In this dissertation, we mainly focused on the restricted biased estimation and preliminary test estimation of parameter in linear models with equality restrictions and stochastic linear restrictions.

本文主要是研究线性模型参数在等式约束和随机线性约束下的约束有偏估计以及预检验估计等相关的一些问题。

4·This input parameter specifies the percentage of data to be used in the data skew estimation.

这个输入参数指定用在数据倾斜估算中的数据的百分比。

5·This input parameter specifies the new partitioning keys to be used in the estimation of data skews.

这个输入参数指定要被用在数据倾斜估算中的新分区键。

6·The operator was applied to simulating parameter estimation of nonlinear system, and the resulted showed its validity and its superiority over a general crossover operator.

通过应用于非线性参数估计的仿真计算，表明了这种杂交算子的有效性及其相对于普通杂交算子的优点。

7·Parameter estimation as minimization - intro to method of least squares, introduction to probability theory, conditional and joint probabilities, statistical independence.

以最小化问题估算参数-最小平方法介绍，机率论介绍，条件机率及联合机率，统计无关。

8·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。

9·An important research field in modern signal processing is the research of robust parameter estimation techniques.

稳健的参数估计技术是现代信号处理的重要研究领域。

10·The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.

非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。