If X is an unbiased measurement of a true value Pg, and U(X) is a nonlinear function of X, then in most cases U is a biased estimate of the true value U(Hz). In most cases this bias is ignored. If it is important to reduce this bias, however, a bias-corrected estimate is U(X) – (1/2)(PU /dx . In general the bias-corrected estimate is not unbiased, but has a smaller bias than U(X). Assume that the radius of a circle is measured to be r = 3.0 + 0.1 cm. Estimate the area A, and find the uncertainty in the estimate, without bias correction. Compute the bias-corrected estimate of A. Compare the difference between the bias-corrected and non-bias-corrected estimates to the uncertainty in the non-bias-corrected estimate. Is bias coIrection important in this case? Explain. a. b. C.

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Author:Amos Gilat
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If X is an unbiased measurement of a true value Pg, and U(X) is a nonlinear function of X,
then in most cases U is a biased estimate of the true value U(Hz). In most cases this bias is
ignored. If it is important to reduce this bias, however, a bias-corrected estimate is
U(X) – (1/2)(PU /dx . In general the bias-corrected estimate is not unbiased, but has a
smaller bias than U(X).
Assume that the radius of a circle is measured to be r = 3.0 + 0.1 cm.
Estimate the area A, and find the uncertainty in the estimate, without bias correction.
Compute the bias-corrected estimate of A.
Compare the difference between the bias-corrected and non-bias-corrected estimates to
the uncertainty in the non-bias-corrected estimate. Is bias coIrection important in this
case? Explain.
a.
b.
C.
Transcribed Image Text:If X is an unbiased measurement of a true value Pg, and U(X) is a nonlinear function of X, then in most cases U is a biased estimate of the true value U(Hz). In most cases this bias is ignored. If it is important to reduce this bias, however, a bias-corrected estimate is U(X) – (1/2)(PU /dx . In general the bias-corrected estimate is not unbiased, but has a smaller bias than U(X). Assume that the radius of a circle is measured to be r = 3.0 + 0.1 cm. Estimate the area A, and find the uncertainty in the estimate, without bias correction. Compute the bias-corrected estimate of A. Compare the difference between the bias-corrected and non-bias-corrected estimates to the uncertainty in the non-bias-corrected estimate. Is bias coIrection important in this case? Explain. a. b. C.
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