参数估计

The result shows that the method can yields good estimate of the layer foun dation parameters.

结果表明，该方法产生良好的地基参数估计。

This method is featured with high estimating performance and little computation burden by n o aperture losing and temporal smoothing. The reˉ quirements on hardware for RSDOA matrix method is predigested consu medly only need one fiducially sensor array with arbitrary structure and a single scattered sensor cell, so it is more effective and practical than other existing similar algoˉ rithms.

与现有算法相比较，RSDOA方法对于系统的硬件需求大为下降，计算负担小；由于无阵列孔径损失问题且空时协方差矢量具有时域平滑效果，因此参数估计性能优越，具有广泛的适用性与实际的应用价值。

The parameter estimation problem to the invertible vector moving average model essentially is a matrix spectral factorization problem.

中文摘要：可逆的向量滑动平均模型参数估计问题本质上是一个矩阵谱分解问题。

we carry on logistics demand forecast by taking time-series model and explain its application to logistics demand forecast by justment of data stationary, stead, standardization, modeling, discernment, making steps, parameter estimate and examination to predict, error and calculation of confidential interval.

本文采用时间序列模型进行物流需求预测，用实例从数据平稳性的判断，平稳化，标准化，建模，经模型的识别、定阶、参数估计和检验，到预测及误差和置信区间的计算，详细地说明了时间序列模型在物流需求预测中是如何应用的。

The adaptive compensation term of the optimal approximation error and a new robust term are adopted to minify the influence of modeling error and parameter estimation error.

该方案通过引入最优逼近误差的自适应补偿项和新的鲁棒项，削减建模误差和参数估计误差的影响，从而在稳定性分析中取消了要求逼近误差平方可积或逼近误差的上确界已知的条件。

We studied submerged fermentation kinetics of Morchella. Applying the genetic Algorithm in the Matlab software platform, we compared suitability of the Monod and Logistic models, both are commonly used in process of fungal growth, to describe Morchella growth kinetics.

本研究对羊肚菌液体深层发酵动力学进行了研究，在Matlab软件平台上，应用遗传算法对比了真菌生长较常用的Monod与Logistic方程在描述羊肚菌生长动力学时的优劣，并对羊肚菌的生长、胞外多糖产生和基质消耗模型进行了参数估计。

Since our proposed estimating equation is a nondifferentiable function with respect to regression parameters, we also compare two root-finding algorithms for nondifferentiable function, bisection and Nelder-Mead methods, in this thesis.

此外，本文所提出的参数估计式为不可微函数，因此文中也会探讨解不可微函数的两段法和Nelder-Mead所提的方法等两种解根演算法。

A head pose estimation algorithm based on orthographical projection is presented.

提出基于正射投影模型的人脸姿态参数估计算法。

When researching the producer's behavior,such as factor input and output efficiency,using product function or cost function,researchers frequently ignore the economic inefficiency and assume that the productor can attain the production possibility frontier.

通常采用生产函数或成本函数研究生产者行为时，一般默认生产者总是在生产可能性边界安排生产，而忽略了由于产出的经济无效率所造成的偏差，这种偏差最终会影响要素替代弹性、要素最优配置及产出效率的准确测度。本文采用面板模型的三要素成本函数循环参数估计法，通过施加规模报酬不变的假设，估算了辽宁省工业部门二类行业的相对技术无效率、配置无效率程度及要素间的相对价格扭曲，并计算了资本、劳动、能源要素间的交叉替代弹性。

A reformative multiple model approach is presented to improve the accuracy of parameter estimation when the model set is too large, and it is used to identify system noise.

针对模型集过大导致的参数估计精度下降的现象，提出了一种改进的多模型算法，并将该算法应用于系统噪声辨识。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新