A statistician has to decide on the basis of two obser-vations whether the parameter θ of a binomial distribu-tion is 1 4 or 12 ; his loss (a penalty that is deducted from hisfee) is $160 if he is wrong.(a) Construct a table showing the four possible values ofthe loss function. (b) List the eight possible decision functions and con-struct a table showing all the values of the corresponding risk function.(c) Show that three of the decision functions are notadmissible.(d) Find the decision function that is best according to theminimax criterion.(e) Find the decision function that is best according to theBayes criterion if the probabilities assigned to θ = 14 and θ = 12 are, respectively, 23 and 13 .
A statistician has to decide on the basis of two obser-
vations whether the parameter θ of a binomial distribu-
tion is 1
4 or 1
2 ; his loss (a penalty that is deducted from his
fee) is $160 if he is wrong.
(a) Construct a table showing the four possible values of
the loss function.
(b) List the eight possible decision
struct a table showing all the values of the corresponding
risk function.
(c) Show that three of the decision functions are not
admissible.
(d) Find the decision function that is best according to the
minimax criterion.
(e) Find the decision function that is best according to the
Bayes criterion if the probabilities assigned to θ = 1
4 and
θ = 1
2 are, respectively, 2
3 and 1
3 .
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