XDrakeH3479 XDrakeH3479
  • 12-03-2024
  • Mathematics
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Let X1, X2, . . . , Xn represent a random sample from a Rayleigh distribution with pdf
f(x; θ) = (x/θ) * eˣ²/⁽²θ⁾ for x > 0
(a) It can be shown that E(X₂ P ) = 2θ. Use this fact to construct an unbiased estimator of θ based on n i=1 X₂ i

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