定量管理级：过程通过统计数据被控制和度量，因此结果在数量上是可预测的。
Quantitatively managed: the process is controlled and measured by statistical data, and outcomes are therefore quantitatively predictable.
其次，NNSTAT存储过程现在允许选择统计信息收集方法，并提供了对要为之收集统计信息的列和索引的细粒度的控制。
Secondly, the NNSTAT stored procedure now offers a choice of statistics-gathering methods, as well as fine-grained control over the columns and indexes for which statistics are to be collected.
这些被选出的子过程是利用统计学和其他量化技术来控制的。
These selected sub-processes are controlled using statistical and other quantitative techniques.
本课程探讨的统计建模和制造过程的控制。
This course explores statistical modeling and control in manufacturing processes.
提出了一种多变量统计质量控制方法来减小由于过程扰动引起的产品质量变化。
A multivariable statistical quality control method was presented to decrease the variance in product quality by the influence of process disturbance.
抽样产品，进行测试，记录数据，执行工艺操作的统计过程控制，并写入生产日志。
Sample products, perform tests, record data, carry out statistical process control on process operations, and write production logs.
本系统对电子企业中数据采集和统计过程控制有一定的参考意义。
The system is significative to data acquisition and statistical process control in electronic enterprises in a certain extent.
在多变量统计过程控制中，传统的方法主要包括主元分析和偏最小二乘，这些方法存在着诸多缺陷。
Principal component analysis (PCA) and partial least squares (PLS) are the conventional techniques of multivariate statistical process control but exist some defects.
直方图、控制图和过程能力指数就是利用这个原理对生产过程进行管理的主要统计技术。
The control picture and the exponent of the process capability, which is using the theory, is the main technology of the statistic.
可能必需完成一个统计过程控制(SPC)。
Completion of a statistical process control (SPC) course may be required.
采用SPC等统计技术控制，优化库存周转期的生产和服务过程那个的操作，目的是减少过程变差和浪费。
Using SPC statistical control, optimization of inventory turnover period of production and service processes the operation, is designed to reduce process variation and waste.
阐述统计过程控制的原理、应用控制图对过程作出统计稳态的判断，分析并提高过程能力。
Presents the principle of statistics process control, the judgement of state in statistical control for a process by means of control chart, and the analyses and improves process capability.
这些信息可用作查找故障和统计过程控制的依据。
This information can be used as a lookup failure and statistical process control.
对多元统计过程控制常用的分析方法进行了介绍和总结，如主元分析、多向主元分析。
Conventional analytical methods used in Multivariate Statistical Process Control, such as Principal Component Analysis, Multi-way Principal Component Analysis are summarized.
培训员工和供应商在统计过程控制，先进的质量规划和解决问题的能力。
Training employees and suppliers in Statistical Process Control, Advanced Quality Planning and problem solving.
为了更好的对火电厂发电机组设备故障进行检测，运用多变量统计过程控制技术获得更为精确的机组设备参数模型。
For better detection to the thermal generating set equipment fault, using the multivariate statistical process control, a more precise equipment parameter model is obtained.
在过程控制系统中是否使用了统计方法？
提出扩展统计过程控制模型(ESPC)指导随机性能异常的预防和自修复。
ESPC model is introduced to prevent or self-heal performance exception. ESPC enhances the metrics program of Statistical Process Control (SPC).
质量控制图是保障生产过程处于统计控制状态，减少废品出现的有效工具。
Quality control chart is a useful tool for monitoring produce process in statistics state and reducing waster.
介绍了统计过程控制的原理和设计方法。
In this paper, the design method and rule of statistical process control are present.
统计过程控制（SPC）是质量管理的重要内容。
The statistical process control (SPC) plays an important aspect in quality control (QC).
合并了传统统计过程质量控制中的分析用控制图功能与控制用控制图功能。
The control chart's analysis moment and control moment in tradition statistical process quality control joined together.
各种形式的过程控制，包括统计过程控制，通过运行和自适应控制运行，并实时反馈控制，上述内容都将包括在本课程的探讨范围内。
Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered.
采用统计过程控制(SPC)技术，提高微电路产品的质量和可靠性，监控键合工序的生产过程状态。
Statistical process control (SPC) technique is used to improve quality and reliability of microelectronic products, and monitor production conditions of wire bonding process.
本论文使用统计过程控制和控制图表的方法来度量和分析软件过程，达到了商业目的和技术要求。
This paper is using statistical process control and control charts to measure and analyze software processes, and achieves business and technical goals.
统计过程控制(SPC)技术的引入及其软件在生产过程中的应用，使得精密连接器的质量在管理技术上得到了保证。
The introduction and the application of the Statistic process Control (SPC) technology used in the produce process made the precision connector's quality guaranteed on the management technology.
因此，在一些统计过程控制中，须考虑自相关现象并采用适当的控制图方法。
So methods for dealing with autocorrelated data in the statistical process control environment have been considered.
统计过程质量控制方法是机械加工中产品质量控制常用而有效的手段之一。
Statistical process quality control is a useful and effective means in product quality control of mechanical process.
将多变量统计过程控制应用于过程监控与诊断，在学术研究中已经较为普遍，但在工业实践方面还未充分施行。
Multivariate statistical process control for process monitoring and diagnosis are becoming more common in academic re - search, but are still underutilized in industrial practice.
本文首先介绍了自相关过程的特点和识别、统计过程控制中的过程能力分析和控制图方法的基础理论和知识。
The basic theory and knowledge of the characteristics and identification methods of auto-correlated process, process capability analysis and control charts are first introduced in this paper.
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