研究结果表明：(1)工人产量分布大都为非正态形。
The results indicated: (1) Most workers' output distributions were abnormal.
并用正态核加权和密度函数拟合法解决了非正态图象模板匹配的优化问题。
By means of the density function fitting method of weighted sum of normal kernels the optimizing problem of template matching for non-normal distribution image is solved.
目前非正态过程能力指数的构建与评价研究是过程能力研究中的热点问题。
Therefore, the study on construction and appraisal of process capability index for non-normal processes is a hot issue to be solved.
根据实证检验得出我国股票市场非正态性和尖峰厚尾的特点，选择价差损失值这一度量指标。
According to empirical test, China's stock market shows the characteristics of non-normality and fat tail as well as makes the loss value of the price difference loss as metrics.
通过对上证指数的统计分析表明，上证指数的收益率分布表现出非正态性，并存在自回归条件异方差的特征。
According to statistical analysis on Shanghai stock index, the distribution of the rate of return is non-positive skewed, and there exists an autoregressive heteroskedasticity in the rate of return.
通过对我国股价指数的统计描述，表明我国金融资产收益率存在自回归条件异方差特征，并表现出非正态性。
Statistic descriptions indicate that the benefit of financial capitals in China has the characteristic of autoregressive conditional heteroskedasticity and abnormality.
传统的统计过程控制理论是基于正态分布这个基本假设的，而在实际生产过程中大量非正态过程传统SPC技术会失效。
Traditional SPC theory is based on a fundamental assumption that the process data are normal. However, in many conditions the process data are non-normal which makes traditional SPC theory invalid.
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.
此外本文还给出了严格非负定条件下实正态过程存在的一个充要条件。
Besides, this paper gives a sufficient and necessary condition of the existence of normal process under the strictly nonnegative definiteness condition.
给出非参数回归模型中估计量的渐近偏差和渐近方差，并在适当条件下利用大小分块的思想获得了该估计量的渐近正态性。
Given the asymptotic bias and the asymptotic variance of estimation, moreover obtained the asymptotic normality of the estimation under certain condition using small-block and large-block arguments.
对一类具有渐近正态的统计量，找到了适用于它们的共同的随机加权逼近方法，并研究了它的相合性、一致及非一致逼近速度。
In this paper we find an uniformly random weighting method to statistics admitting asymptotic normality and study its consistency and convergence rates of uniformity and nonuniformity.
对一类具有渐近正态的统计量，找到了适用于它们的共同的随机加权逼近方法，并研究了它的相合性、一致及非一致逼近速度。
In this paper we find an uniformly random weighting method to statistics admitting asymptotic normality and study its consistency and convergence rates of uniformity and nonuniformity.
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