偏斜 英语是什么意思 - 英语翻译

• skewed
• skew
• skewness

在 中文 中使用 偏斜 的示例及其翻译为 英语

图是偏斜的，因为p不是0.5.
It is skewed because p is not 0.5.

哈希释放通常是由于偏斜数据造成的。
Hash bailout usually occurs because of skewed data.

偏斜表明数据可能未呈正态分布。
Skewness suggests that data may not be normally distributed.

另一种克服偏斜的方式是通过数据表示形式的抽象。
Another way to overcome skew is by abstraction in data representation.

偏斜分布定义了车辆的新安全空间。
The skewed distribution defines the vehicle's new buffer zone.

尽管如此，即使偏斜，它的表现也像一个小而强大的冠军。
Still, even lopsided it performs like a small, relatively powerful champ.

偏斜表明数据可能未呈正态分布。
Skewness indicates that the data may not be normally distributed.

这种对称或偏斜是通常在其周围是理论上等于零的平均值。
This symmetry or skewing is normally around the mean which is theoretically equal to zero.

偏斜数据和多模态数据表明数据可能不是正态数据。
Skewed data and multi-modal data indicate that data may be nonnormal.

原因是他的初始样本在过程的每一步之后仍然有一点偏斜。
The reason is that his starting sample still skews a little after each step in the process.

基本上，如果中位线不在框的中间，那么就表明了是偏斜数据;
Basically, if the median line is not in the middle of the box then it is an indication of skewed data.

使用Gamma分布可以对向右偏斜且大于0的正数据值进行建模。
Use the gamma distribution to model positive data values that are skewed to the right and greater than 0.

此外，您还可以看到，在低光照水平下，我们对颜色的感知会变得偏斜。
Furthermore, you can also see that at low light levels, our perception of color becomes skewed.

在原始图中，数据正偏斜，如右（上）尾上的极端值所示。
In the original graph, the data are positively skewed as shown by the values far out on the right(upper) tail.

基本上，如果中值的线不在框的中间，则表明数据偏斜。
Basically, if the median line is not in the middle of the box then it is an indication of skewed data.

也许在将来，数据系统将能够自动检测和补偿偏斜的工作负载；.
Perhaps in the future, data systems will be able to automatically detect and compensate for skewed workloads;

除了偏斜之外，还必须关注CMOS和LVDS的建立和保持时间。
In addition to the skew, the setup and hold times must also be given attention with CMOS and LVDS.

如果把他们一些藏匿在海外账户的资产包含在内，将会使得这一分布进一步偏斜。
Inclusion of the assets that some of them conceal in offshore accounts would skew the distribution even further.

对于极其偏斜和重尾的分布，Levene方法可能比Bonett方法更可靠。
For extremely skewed and heavy tailed distributions, Levene's method tends to be more reliable than Bonett's method.

由于CMOS和LVDS有多种数据输出，必须谨慎处理信号的路由路径，以尽量减少偏斜。
Since there are multiple data outputs with CMOS and LVDS, attention must be directed to the routing paths of the signals to minimize skew.

如果数据偏斜（分布不均衡），则可能需要将数据变换为正态分布。
When the data is skewed(the distribution is disproportionate), you might want to transform the data to make it normal.

当旧基准测试与新硬件一起使用时，结果可能会偏斜或受到限制，从而降低其准确性和相关性。
When old benchmarks are used with new hardware, the results can be skewed or limited in ways that reduce their accuracy and relevance.

这种偏斜的分布是生命造成的，生命利用当地的资源，把它们变成了新的矿物。
One reason for this skewed distribution is that as life has evolved, it has used local resources, turning them into new minerals.

当您具有来自非常偏斜的分布或重尾部型分布的小型样本时，Bonett方法的I类错误率可能比α高。
When you have small samples from very skewed, or heavy-tailed distributions, the type I error rate for Bonett's method can be higher than α.

对于偏斜的低值，泊松分布将在所有方向上具有相对均匀的扩展，就像正常一样。
With a low value for the skewness, a Poisson distribution will have relatively uniform spread in all directions just like the Normal.

在高维空间中聚类数据对象是非常有挑战性的，特别是考虑到这样的数据可能分布非常稀疏，而且高度偏斜。
Is challenging to cluster data objects in high dimensional space, especially considering that such data can be very sparse and highly skewed.

由于偏斜和热点的风险，许多分布式数据存储使用散列函数来确定给定键的分区。
Because of this risk of skew and hot spots, many distributed datastores use a hash function to determine the partition for a given key.

Moran‘sI统计量是渐进正态的，这意味着，对于偏斜数据，每个要素至少需要具有8个相邻要素。
The Global Moran's I statistic is asymptotically normal, which means for skewed data, you will want each feature to have at least eight neighbors.

因此，第25款没有列入综合分析，而是单独核算，原因是其规模会造成工作月报告结果的偏斜。
Therefore, section 25 is not included in the aggregate analysis but is accounted for separately since its magnitude skews the results of work-month reporting.

对于反向波动性偏斜的表现形式，普遍的解释是，投资者普遍担心市场崩盘，买入看跌期权寻求保护。
The popular explanation for the manifestation of the reverse volatility skew is that investors are generally worried about market crashes and buy puts for protection.