The standard error of an estimator is the standard deviation of its sampling distribution, or an estimate of that standard deviation.
Ancestors (5)
Incoming links (179)
- Binomial proportion
- Bootstrap inference for a product of regression coefficients
- Bootstrap standard error
- Bootstrap-t confidence interval
- Central limit theorem
- Comparing a subgroup mean with its containing sample mean
- Confidence interval
- Consistency identities for a two-sided t-test
- Design of experiments
- Difference of independent sample proportions
- Elaboration model
- Equal-cell replication variance formula
- Equivalence test
- Estimating a quantum expectation value
- Estimation error
- Exact bootstrap distribution for three observations
- Finite population correction
- Franck-Hertz spacing fit and contact offset
- Funnel plot
- Greenwood formula
- Hospital mortality funnel plot
- Interaction contrast
- Jackknife variance estimator
- Mass ratio from spring oscillation frequencies
- Normal mean confidence interval with known variance
- Ordinary least squares estimators
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- Pseudoreplication
- Relative risk from group compositions
- Repeated-timing uncertainty in a pendulum gravity measurement
- Replication in experimental design
- Residual standard error
- Sample mean under simple random sampling
- Significant and nonsignificant results need not differ significantly
- Simple-regression output identities
- Small normal sample mean confidence interval
- Small-study effect
- Statistical inference
- Studentized normal sample mean
- Symmetric confidence-interval consistency identities
- Variance of a fitted regression mean
- Variance of nested measurements
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