在进行重组之后,索引NAMES_FULL_NAME将具有一个极低的群集因子(接近于0),因为现在的行是以随机次序存储的。
After the reorganization, the index NAMES_FULL_NAME will have a very low cluster factor (close to 0), because the rows are now stored in random order.
每一个电影片段播放之后都会报告一次(对每一参与者,电影片段播放的次序都是随机的)。
This was repeated for each clip (the clips were shown in a random order for each participant).
更令人吃惊的是,他说,即使随机选择玩游戏A和游戏B,而不是规定固定的交替次序,收益仍然会越积越多。
Even more surprising, he said, when game A and B are played randomly, with no order in the alternating sequence, winnings also go up and up.
本文研究了离散型随机变量次序统计量的分布矩阵的对称性,获得了二个定理。
In this paper, we study the symmetry on distribution matrix of order statistic of discrete type random variable.
本文论述了离散型随机变量的次序统计量的分布律及其有关推论。
In this paper, we study the distribution law of order statistic of discrete type random variable.
本文研究了离散型随机变量次序统计量的分布矩阵的对称性,获得了二个定理。
In this paper, we study the symmetry on distribution matrix of order statistic of discrete type random variable. Therefore, we obtain two theorems.
它与“随机排序次序”选项不同,前者的随机化只出现一次,而后者则在每次访问或页面刷新时都发生。
It differers from the "random sort order" option in that the randomization occurs once, unlike the random sort order where it randomizes on each visit or page refresh.
文中首先论述了随机函数空间中的正交展开与次序正交展开概念。
The idea of orthogonal expansion and sequence decomposition in random space is discussed firstly.
他们还记录了踢水频率。为使研究公平,试验的次序被随机打乱。
They also recorded the kick rate (kicks per stroke cycle) and to keep the study fair the order of the tests was randomised.
应用线性回归分析和移动平均理论,对按时间次序排列的单一数据序列,给出了一种线性移动自回归预测模型,并对原始数据受不确定因素影响而产生的随机振荡,给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
应用线性回归分析和移动平均理论,对按时间次序排列的单一数据序列,给出了一种线性移动自回归预测模型,并对原始数据受不确定因素影响而产生的随机振荡,给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
应用推荐