AI engineering glossary · Statistics inference
What is unbiased estimator?
Unbiased estimator: An estimator whose average value across all possible samples equals the true quantity it targets. Any single result can still miss the target, but there is no systematic push in one direction.
Unbiased estimator: an example
The sample average is unbiased for the population mean: across many samples its results centre exactly on the true mean.
Related terms
More Statistics inference terms
- Welch's t-test
- Wilcoxon signed-rank test
- Z-test
- A/B test
- Adjusted R-squared
- Alternative hypothesis
- ANOVA
- Average treatment effect
Where you learn it
Unbiased estimator is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.