在 英语 中使用 Confidence intervals 的示例及其翻译为 中文
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The attributes get_prediction() and conf_int() allow us to obtain the values and associated confidence intervals for forecasts of our dataset.
Get_prediction()和conf_int()属性允许我们获得时间序列预测的值和相关的置信区间。Unfortunately, the models used in this field do not generate error bands or confidence intervals.
不幸的是，这里所使用的模型没有给出误差范围或置信区间。It estimates the confidence intervals by re-sampling among the samples actually collected and by computing the mean of each generated sample.
它通过在实际收集的样本中重新采样并通过计算每个生成的样本的平均值来估计置信区间。The 95% confidence intervals for rates are displayed and were estimated by assuming Normal approximations to the Poisson distribution.
表现了比率95%的置信区间，并通过假设泊松分布的常态近似值进行估计.Risk ratios and 95% confidence intervals were estimated with control for psychiatric and medical conditions, medications, and other potential confounders.
风险比和95%的置信区间受控制精神病学和医学状况、药物和其他潜在的混杂因素所影响。Anyone able to compute sound confidence intervals that incorporates historical data, would have said that the results were not reliably predictable.
任何能够计算出包含历史数据的良好的置信区间的人，都认为这是不可靠的预测结果。Note: The achievement percentages reported in this table include 95% confidence intervals, for example, 80%+- 2.7%.
注：本表报告的成绩百分比包括95%的置信区间，例如，80%+-2.7%。(They also add,“Furthermore, we are not able to rule out a null effect on hours given our confidence intervals.”).
他们还补充说，“此外，考虑到我们的置信区间，我们不能排除对工时数的零影响。One practical way to do so is to rename confidence intervals as‘compatibility intervals' and interpret them in a way that avoids overconfidence.
一种实用的方法是将置信区间重命名为“兼容区间”，并以避免过度自信的方式解释它们。It is important to resist the impulse to use confidence intervals for other purposes.
克制住将置信区间用于其他目的的冲动，这很重要。Five random seeds(a common reporting metric) may not be enough to argue significant results, since with careful selection you can get non-overlapping confidence intervals.
个随机种子可能不足以证明结果的显著性，因为通过仔细的选择，你可以得到不重叠的置信区间。This indicates that 19 out of 20 samples(95%) from the same population will produce confidence intervals that contain the population parameter.
这表明来自同一总体的20个样本中有19个(95%)会生成包含总体参数的置信区间。We repeat this process until some condition is met: timeout is reached or the confidence intervals we mentioned earlier stabilize(convergence).
就是这样！我们重复这个过程直到满足某个条件：超时或我们之前提到过的置信区间稳定（收敛）。Furthermore, the small sample size used in this phase of research means the margins of error(or confidence intervals) surrounding results are quite large.
此外，这个研究阶段使用的小样本量意味着结果周围的误差范围（或置信区间）相当大。You may not know how to code in R or calculate a confidence interval.
您可能不知道如何在中编码或计算置信区间。Ways to get a more precise confidence interval.
获得更加精确的置信区间的方法.The resulting 90% confidence interval is.
因此μ的90%置信区间为：.First, consider the sample mean, and then examine the confidence interval.
首先考虑均值差值，然后检查置信区间。For more information, go to Ways to get a more precise confidence interval.
有关更多信息，请转到获得更加精确的置信区间的方法。First, consider the mean difference, and then examine the confidence interval.
首先考虑样本率的差值，然后检查置信区间。
