Payoff Table s1 s2 s3 s4 s5 s6 s7 d1 d2 d3 d4 d5 d6 d7 d8 Probability RESULTS Criteria Decision Payoff Maximin
Description
Business Decision Template document sample
Document Sample


Payoff Table
s1 s2 s3 s4 s5 s6 s7
d1
d2
d3
d4
d5
d6
d7
d8
Probability
RESULTS
Criteria Decision Payoff
Maximin #N/A 0
Minimax Regret #N/A 0
Maximax #N/A 0
Insufficient Reason #N/A 0
EV #N/A 0
EVPI 0
Regret Table
s1 s2 s3 s4 s5 s6 s7
d1
d2
d3
d4
d5
d6
d7
d8
Probability
s8
s8
Bayesian Analysis
Indicator 1 Indicator 2
States Prior Conditional Joint Posterior States Prior
of Nature Probabilities Probabilities Probabilities Probabilites of Nature Probabilities
s1 0 0 s1 0
s2 0 0 s2 0
s3 0 0 s3 0
s4 0 0 s4 0
s5 0 0 s5 0
s6 0 0 s6 0
s7 0 0 s7 0
s8 0 0 s8 0
P(Indicator 1) 0
Indicator 3 Indicator 4
States Prior Conditional Joint Posterior States Prior
of Nature Probabilities Probabilities Probabilities Probabilites of Nature Probabilities
s1 0 0 s1 0
s2 0 0 s2 0
s3 0 0 s3 0
s4 0 0 s4 0
s5 0 0 s5 0
s6 0 0 s6 0
s7 0 0 s7 0
s8 0 0 s8 0
P(Indicator 3) 0
Conditional Joint Posterior
Probabilities Probabilities Probabilites
0
0
0
0
0
0
0
0
P(Indicator 2) 0
Conditional Joint Posterior
Probabilities Probabilities Probabilites
0
0
0
0
0
0
0
0
P(Indicator 4) 0
Payoff Table
s1 s2 s3 s4 s5 s6 s7
d1
d2
d3
d4
d5
d6
d7
d8
Prior Prob.
Ind. 1 Prob.
Ind 2. Prob.
Ind. 3 Prob.
Ind 4 Prob.
RESULTS
Prior Ind. 1 Ind. 2 Ind. 3 Ind. 4
optimal payoff 0.00 0.00 0.00 0.00 0.00
optimal decision #N/A
EVSI =
EVPI =
Efficiency=
s8 EV(prior) EV(ind. 1) EV(ind. 2) EV(ind. 3) EV(ind. 4)
0.00
0.00
0.00
0.00
Utility Analysis
s1 s2 s3 s4 s5 s6 s7
d1
d2
d3
d4
d5
d6
d7
d8
Probability
RESULTS
Criteria Decision Value
Exp. Utility 0
Certain Payoff Utility
s8 EU
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