Refer to Problem 2.23. For multinomial sampling, show how to obtain a confidence interval for AR by

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Refer to Problem 2.23. For multinomial sampling, show how to obtain a confidence interval for AR by first finding one for log(1 – AR) (Fleiss 1981, p. 76).

Data from Prob. 2.23:

For two parameters, a confidence interval for θ1 – θ2, based on single-sample estimate θ̂i, and interval (ʆi,ui) for θi, i = 1, 2, is

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Newcombe (1998b) proposed an interval for π1 – π2 using the score interval (ʆi, ui) for πi that performs much better than the Wald interval (3.4). It is (π̂1 – π̂2 – zα/2 sL, π̂1 – π̂2 + zα/2 sU), with

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Show that it has the general form above of an interval for θ1 – θ2.

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