Maurice Tutor

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  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 09 Oct 2017 My Price 7.00

binomial pdf

SJLI. Suppose  the  binomial  pdf  described  in Example 5.8.2 refers  to the  number  of votes a candidate migh t receive in a poll conducted before the general election. Moreover, suppose a beta prior distribution has been assigned to e, and every indicator suggests the election will be close. The pollster, then, has good reason for concentrating the bulk

of the prior distribution around the val ue 8 = }. Setting the two beta parameters    r

and s both equal to 135 will accomplish that objective (in the event r = s = 135, the probability of e being between 0.45 and 0.55 is approximately 0.90).

(a)     Find the corresponding posterior distribution.

(b)      Fi nd the squared-error Joss Bayes estimate for () and express it as a weighted

average of the maximum likelihood estimate for e and the mean  of  the prior pdf.

Answers

Maurice Tutor
(5)
Status NEW Posted 09 Oct 2017 02:10 PM My Price 7.00

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