将现场测得的非平稳振动序列通过ARIMA模型和标准化处理，转化成标准正态平稳时间序列。
Through ARIMA model and standardization, the non stationary vibration series acquired in the field were transformed to stationary time series normally distributed.
正态混合模型还可以用来对那些不能用标准的参数分布族来拟和的总体进行密度估计或近似。
The normal mixed distribution model can be used to get probability density or to simulate population which can not be fitted by standard parameters distribution classes.
给出了正态总体均值和标准差的最大似然估计（M LE），似然比检验统计量及其渐近分布等结果。
The maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.
为了使分数带有大量信息，便于用户使用，大规模标准化考试在最终报道考试成绩前，分数要经过加权处理、等值处理、正态化转换等一系列转换过程。
In large scale standardized tests, the test scores, before release, have to undergo a series of transformation processes, including score weighting, score equating, and score normalization, etc.
本文在划定指标标准时采用了正态等距分析法和平均值法。
The normal interval analysis and the average value were used to divide indicator standards in this paper.
正态母体特征值（母体均值、百分位值、百分率、标准差和变异系数等）的检验是工程中常见的问题。
The normal population characteristics, such as the mean, standard deviation, percentile, percentage and coefficient of variation, are often tested in engineering.
正态母体特征值（母体均值、百分位值、百分率、标准差和变异系数等）的检验是工程中常见的问题。
The normal population characteristics, such as the mean, standard deviation, percentile, percentage and coefficient of variation, are often tested in engineering.
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