方法对杭州市发热监测哨点数据进行时间趋势分析。
Methods A time trend analysis of data from the fever monitoring spots in Hangzhou was carried out.
你甚至不必对这些时间序列数据进行分析，因为这个工具允许你做一个散点图来比较不同数据里的搜索趋势。
You don't even have to produce an analysis on time-series data, as the tool lets you do a scatter plot to compare search trends between different data.
尽管DB 2PE的历史数据只保留较短的时间(几小时或几天)，但是一旦数据被保存在PWH中，这些数据便可在很长的时间内用于报告和趋势分析。
While the history data of DB2 PE is only retained for a short time (hours or days), once data is in the PWH, the data is available for reporting and trend analysis over much longer periods.
泄漏可能非常快或令人难以置信地慢，所以我们将分析短时间间隔和长时间间隔的内存趋势。
Leaks can be very fast or incredibly slow, so we analyze memory trends of both short and long intervals.
虽然此类信息能够使人们对疾病的严重性和重要性有一定认识，并了解某些一段时间内疾病发展趋势方面的信息，但不足以开展详细的流行病学分析。
While such information can give an impression of the severity and importance of diseases and tell us something about trends over time, it is insufficient for detailed epidemiological analysis.
使用它可以深入了解流程性能，使您能够随着时间的推移分析KPI和其他维度，从而对业务度量切片和分块进行深入研究，以确定发展趋势。
It provides insight into process performance, enabling you to analyze KPIs over time and other dimensions and to drill up and down and slice and dice business measures to identify trends.
在许多情况下，可以通过历史(副本)快照来分析某个时间段内的发展趋势。
In many cases, historical (copy) snapshots are taken to review trends over a period of time.
为了检测和量化随时间推移而发生的变化，我们采用了Poisson回归分析法，并对道路伤害的趋势和季节性以及驾照扣分制度的有无进行了调整。
To detect and quantify changes over time we used Poisson regression, with adjustments for trend and seasonality in road injuries and the existence of a driver's licence penalty point system.
尽管我们只是分析了10年时间，你还是可以清楚的看到干旱的趋势。
We have analyzed just ten years but you see clearly a tendency of drying.
这个数据库按指定的时间间隔自动地捕捉相同的数据(由Collector任务执行)，这有助于进行历史趋势分析。
This database captures the same data automatically on a scheduled interval (performed by the Collector task) and is helpful when performing historical trend analysis.
ActivityTrends特性用于分析“历史”服务器数据，以助于发现只有通过很长时间才能发现的趋势。
The Activity trends feature lets you analyze "historical" server data, to help spot trends that can only be identified over an extended period of time.
有时咱们的数据资料很是复杂，而我们没有时间跟精力来一一作解释的，那么可以挑出一些小组或是小趋势来与听众详细分析。
Sometimes our data is very complex and we don't have the time nor the energy to go into depths about it, then pick out subsets or trends within your data to better explain to your audience.
从趋势、强弱、时间、庄家力度四大方面对股价进行综合分析。
From the trend, strong or weak, time, effort Makers of the four major aspects of a comprehensive analysis of stock prices.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
全世界的企业开始公认大数据是一个关键趋势。更重要的是，他们开始将大量的时间与金钱投入到分析服务。
Businesses around the world are beginning to recognize big data as a key trend and, most significantly, starting to invest significant amounts of time and money into analytics services.
方法通过比较不同时间、地点和人群疟疾分布情况分析珠海市1986 ~ 1999年疟疾流行趋势和特点。
Methods To analysis the epidemiologic trend and characteristics of malaria in Zhuhai during 1986 ~ 1999 by comparing the distribution of malaria in different time, places and population.
利用时间序列模型不仅能够分析经济序列的趋势，同时还可以进行预测。
Economic trend may be analyzed and forecasted, using by time series models.
对传入时间的分析表明，自古代以来就有异域杂草的传入，而随着国际交往的日益频繁呈上升趋势。
The analysis of introduction time indicated that the exotic weeds have been introduced since ancient times, and exotic weeds augmented as the international exchanges grew.
试验结果表明，加入聚类分析的径向基神经网络模型提高了连续预测的趋势准确率，降低了时间代价，并减小了模型的复杂度。
The result of this experiment shows that the modified RBF neuro-network increases trend accuracy in sequential predicting, while debasing the cost of time and reducing the complexity of the model.
以往对关井恢复中油压的变化趋势预测和分析的方法，不能准确预测油压稳定时间以及稳定油压。
The former method of forecasting and analysis for change of oil pressure at time of build up in closed well can not foresee stable time and oil pressure accurately.
纵向数据的最大优点就是它将截面数据和时间序列数据结合在一起，更好地分析出个体随时间的变化趋势。
The prominent advantage of longitudinal data is that it can analyze effectively the change of individuals over time.
时间序列分析是统计学的分支之一，它的研究对象是离散有序数列的变化特征和变化趋势。
As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.
预测实例表明，相比于传统的时间序列分析方法，这种预测方法能对振动响应的趋势进行更准确的预测。
A forecast instance indicates that compared with the traditional time series analysis, the present forecast method can carry out more accurate forecast of vibration response trends.
最后，建立了基于时间序列的二次指数平滑线性预测模型，进行商品销售趋势的分析，部分验证了本文的设计分析。
Finally built a two linear forecasting models based on smoothing of time queue about analysis of sale trend, and verified the design analysis of this paper partly.
分析了拐角频率和应力降随时间的变化趋势，并讨论了震源参数相互之间的关系。
The variation of corner frequency and stress drop with time are analyzed, and the relations between focal parameters are discussed.
给出了离散时间序列多重分形除趋势涨落分析方法和霍尔德指数的计算方法，并用它们研究了气温时间序列。
We give multifractal detrended fluctuation analysis and Hlder analysis of discrete time series and use them to study the temperature time series fluctuations.
给出了离散时间序列多重分形除趋势涨落分析方法和霍尔德指数的计算方法，并用它们研究了气温时间序列。
We give multifractal detrended fluctuation analysis and Hlder analysis of discrete time series and use them to study the temperature time series fluctuations.
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