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Everything about Standard error

Statistical property

The standard error (SE) of a statistic is the standard deviation of its sampling distribution. It is the square root of the variance of an estimator of a parameter, as in the standard error of the mean. The standard error is often used in calculations of confidence intervals. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Standard errorA 5-minute orientation
  2. Skim a recent paper: When Should You Adjust Standard Errors for Clustering?Influential work since 2022
  3. Pick up a classic book: Patient Safety and Healthcare Improvement at a GlanceThe most-reprinted book on the subject
  4. Read the landmark paper: Estimating Standard Errors in Finance Panel Data Sets: Comparing ApproachesCited 9,850 times
  5. Go sideways: Unbiased estimation of standard deviationA closely related topic
  6. Go sideways: Sampling distributionA closely related topic

📖 Definitions

Noun A measure of how likely a mean of means is to be wrong. It is the standard deviation of the sample sizes in each to the sample means.

Noun Alternative form of stderr.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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