The BLS helpfully provides "smoothed" data that adjusts for the change in the estimation procedure.
劳工统计局有用地提供了“平滑的”数据，调整了估计过程中的变化。
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。
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。
To improve the performance and lower the storage requirements of this routine, the estimation can be based on a subset of the data using extremely fast sampling on the page level.
为了改进性能并降低例程的存储要求，估算可使用页面级的极快速取样基于数据的一个子集。
A cost estimation that assumes normal data distribution may not best reflect the real cost of a query when different parameters are used.
假定正常数据分布的开销评估可能并不能最好地反映查询使用不同参数时的实际开销。
Often this is the case because the input data that a particular estimation method requires may be unavailable or inaccurate at the time when an estimate is needed.
这通常是因为在需要评估时，评估方法需要的特定的输入数据可能不可用，或者精度不够。
They may also be asked to conduct categorical data analysis, robust estimation or survival analysis.
他们也可能会要求进行分类数据分析，稳健估计或生存分析。
Illustrated with examples, it has reference value for the field life data analysis and reliability evaluation, illustrating several estimation methods concerning reliability function of deleted data.
结合实例说明了含有删失数据的可靠性函数估计的几种方法，对于现场寿命数据分析与可靠性评估具有参考价值。
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。
The essence of fault reconstruction is a process of seeking an estimation value for correct value which corresponding to fault measurement data.
故障重构的本质就是寻找故障测量数据所对应的正常值的一个估计值的过程。
Based on some prior knowledge, the proposed approaches utilize fewer parameters to describe the variation between speakers, and thus fewer adaptation data are needed to give robust estimation.
这两种方法在一定先验知识的基础上采用较少的参数来描述说话人间的差异，因而只需要少量的自适应数据就可以得到参数的鲁棒估计。
Objective A robust parameter estimation method applied to a class of medical dynamic monitoring data is introduced and analyzed in this paper.
目的介绍并分析适用于一类医学动态监测数据的稳健参数估计方法。
Longitudinal data is typical related data, and it is desirable to choose correct data variance structure since the correct structure affects the efficiency of estimation.
纵向数据为典型的相关数据，数据方差结构选择的正确与否直接影响估计的效率。
Specially, by use of this method, we can give high precision estimation of system error only using the tracking data of a set of MISTRAM.
运用该方法，只要一套MISTRAM系统的跟踪数据，就能给出自由飞行段常值系统误差的估计。
The method of state estimation is discussed, when radars have different observation dimension in one distributed data fusion system with feedback.
论述了带反馈分布式信息融合系统中传感器观测维数不同时的状态估计方法。
In the frequency domain pilot channel estimation, this thesis studies the pilot subcarrier and data subcarrier channel estimation algorithms.
在基于频域导频的信道估计中，研究了导频子载波处的信道估计方法和数据子载波处的信道估计方法。
It can overcome the effect of bad data on parameter estimation, and has strong robustness, and can track time-varying parameters because the discontinuous recursive computation was applied.
该方法由于采用了间断迭代，因此可以克服坏数据对参数估计的影响，且具有较强的鲁棒性，又可以跟踪时变参数。
The data correlation and state estimation are both certainly independent and closely relative, but the performance of tracking systems can be improved by suitable incorporating the two components.
数据关联和目标状态估计两部分既有一定的独立性又有密切的联系，而将两部分合理地结合对提高跟踪系统的性能是重要的。
Enthalpy vaporization of 104 organic compounds were estimated and compared with experimental data by the simulating estimation software and the total average error is just 0.864%.
利用该软件还对104种有机物在正常沸点下的蒸发焓进行了估算，并与实验数据进行了比较，总平均误差为0.864%。
This paper presents a new method of multisensor data fusion for measuring the temperature based on parameter estimation, and gives the data fusion algorithm.
本文提出了一种基于多传感器参数估计数据融合的热处理炉温度测量方法，给出数据融合算法。
This dissertation points out the most pivotal problems in data fusion, i. e., data association, state estimation and target recognition, which are investigated in depth.
本文指出了数据融合中最为关键的几个问题——数据关联、状态估计和目标识别并围绕它们进行了深入的研究。
To improve the algorithm convergence, EM-based joint channel parameters estimation and data detection algorithm is proposed.
为进一步提高算法的收敛速度，提出联合信道参数估计和数据检测算法。
Multi-sensor data fusion has two main classes: estimation fusion, decision fusion.
多传感器数据融合分两大类：估计融合，决策融合。
The results of two NIR data show that this method provides a very promising tool for chemical rank estimation of two way data matrices.
对两个近红外数据的分析结果表明，这一方法为二维数据的化学秩估计提供了一个很有价值的工具。
In this paper, a fast approach for box dimension estimation based on a dual pyramid data structure is developed.
在实数域分形盒维数计算方法的基础上，提出了双金字塔数据形式的盒维数快速计算方法。
This paper described using the NOAA data for grassland monitor and yield estimation.
本文阐述了如何利用NOAA资料进行草地监测和产草量估计。
The elementary statistics include the statistics concept, data collection and analysis, estimation and hypothesis testing, analysis of variance, regression etc.
本课程包括统计基本概念、统计资料收集及分析、基本机率分配、估计与检定、变异数分析、线性回归等。
The elementary statistics include the statistics concept, data collection and analysis, estimation and hypothesis testing, analysis of variance, regression etc.
本课程包括统计基本概念、统计资料收集及分析、基本机率分配、估计与检定、变异数分析、线性回归等。
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