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# HW07 - STAT210A HW07 Due Tuesday 7.1 In the inverse...

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Unformatted text preview: STAT210A HW07 Due: Tuesday, October 20, 2009 7.1. In the inverse binomial sampling procedure, N is a random variable representing the number of trials required to observe x successes in a total of N + x Bernoulli trials (with parameter θ ). (a) Show that the best (minimum variance) unbiased estimator of θ is given by δ * ( N ) = ( x- 1) / ( N + x- 1). (b) Show that the information contained in N about θ is I ( θ ) = ( x- 2 xθ ) / [ θ 2 (1- θ )]. (c) Show that var ( δ * ) > 1 /I ( θ ). 7.2. Consider a scale family 1 θ f ( x/θ ) , θ > 0 where f is some fixed density function. (a) Show that the amount of information that a single observation X contains about θ is given by 1 θ 2 Z yf ( y ) f ( y ) + 1 2 f ( y ) dy. (b) Show that the information X contains about ξ = log θ is independent of θ . 7.3. Given a family { p ( x ; θ ) | θ ∈ Θ } and an estimator δ ( · ) with g ( θ ) = E θ [ δ ( X )], the information bound is B ( θ ) = [ g ( θ )] 2 /I ( θ ). Now suppose that)....
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HW07 - STAT210A HW07 Due Tuesday 7.1 In the inverse...

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