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Tswag2001 Tswag2001
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6 years ago
Unbiasedness and small variance are desirable properties of estimators.
 
  However, you can imagine situations where a trade-off exists between the two: one estimator may be have a small bias but a much smaller variance than another, unbiased estimator. The concept of mean square error estimator combines the two concepts. Let be an estimator of . Then the mean square error (MSE) is defined as follows: MSE( ) = E(  )2. Prove that MSE( ) = bias2 + var( ). (Hint: subtract and add in E( ) in E(  )2.)
  What will be an ideal response?
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gapodaca24gapodaca24
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6 years ago
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Tswag2001 Author
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6 years ago
Thanks
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Yesterday
Thank you, thank you, thank you!
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2 hours ago
Good timing, thanks!
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