pY (y | 0) = 0"(1 – 0)'-", y = 0 or 1, where 0 < 0 < 1 is a parameter. a) Find an estimator ÔMOM of 0 using the method of moments.

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Chapter1: Combinatorial Analysis
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Let Y1, Y2, ... Yn be a random sample from a population with common probability mass function 

Please do a

py (y | 0) = 6" (1 – 0)!-", y = 0 or 1,
where 0 < 0<1 is a parameter.
a) Find an estimator ÔMOM of 0 using the method of moments.
b) Derive the Fisher information I,(0) of this distribution.
c) Prove that ÔMOM is MVUE of 0 using the Cramer-Rao theorem.
d) Determine whether ÔMOM is UMVUE of 0.
Transcribed Image Text:py (y | 0) = 6" (1 – 0)!-", y = 0 or 1, where 0 < 0<1 is a parameter. a) Find an estimator ÔMOM of 0 using the method of moments. b) Derive the Fisher information I,(0) of this distribution. c) Prove that ÔMOM is MVUE of 0 using the Cramer-Rao theorem. d) Determine whether ÔMOM is UMVUE of 0.
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