When is a Biased Estimator Better? A Look at Ratio Estimators
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The ratio estimator is an example where a biased estimator is better than an unbiased one. Many things are ratios, eg, the view-to-like ratio for Youtube videos. While the bias can be corrected, there are good reasons not to do so, including the bias-variance tradeoff. I also demo a numerical simulation using real data from Lex Fridman's channel.
0:00 - Bias of an estimator
0:47 - Sample variance bias correction
2:32 - Ratio estimator and example
4:01 - Bias correction methods for ratio estimator
5:05 - Why not correct the bias
6:07 - Bias-variance tradeoff
7:32 - Numerical simulation
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Chapters (7)
Bias of an estimator
0:47
Sample variance bias correction
2:32
Ratio estimator and example
4:01
Bias correction methods for ratio estimator
5:05
Why not correct the bias
6:07
Bias-variance tradeoff
7:32
Numerical simulation
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Tutor Explanation
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