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using bootstrap to calsulte se
You can calculate the standard error (SE) and confidence interval (CI) of the more common sample statistics (means, proportions, event counts and rates, ...

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The bootstrap is one of the most general and the most widely used tools to estimate measures ... Then we to estimate the standard error SE(ˆθ), we use.
4 页·143 KB
In this article, I will discuss the method we can use to estimate the standard error of the median. I will first specify some definitions and discuss how we ...
2013年7月2日 — We can then use the sample standard deviation of these estimates, across bootstraps, as an estimate of standard error. Let's express this ...
2021年4月15日 — Take k repeated samples with replacement from a given dataset. · For each sample, calculate the standard error: s/√n · This results in k ...
Suppose we find ourselves in the following common data-analytic situation: a ... This is called the ideal bootstrap estimate of the standard error of s(x).
16 页·184 KB
We visualized these three sets of 1000 estimates in Figure 7.12 and saw that ... the standard error decreased and thus the sampling distributions narrowed.
2015年5月12日 — For example, if you had calculated the median instead of the mean, you'd be in deep trouble if you needed to calculate its standard error and ...
2012年12月23日 — and compute the sample statistic for each sample o. Compute the standard error as the standard deviation of all these statistics o. Use ...
11 页·3 MB

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