The expected value of perfect information (EVPI) is equal to O EMV with posterior information – EMV with prior information. EMV with free perfect information EMV with information. | EMV with free perfect information – EMV with no information. EMV with perfect information EMV with less than perfect information.
The expected value of perfect information (EVPI) is equal to O EMV with posterior information – EMV with prior information. EMV with free perfect information EMV with information. | EMV with free perfect information – EMV with no information. EMV with perfect information EMV with less than perfect information.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:**Question 47**
**1 point**
The expected value of perfect information (EVPI) is equal to
- **(Selected Option)** EMV with *posterior* information – EMV with *prior* information.
- EMV with free perfect information – EMV with information.
- EMV with free perfect information – EMV with no information.
- EMV with perfect information – EMV with less than perfect information.
*Explanation:*
This question is about calculating the expected value of perfect information (EVPI). EVPI is a measure used in decision analysis to determine how much better a decision could be if the decision-maker had perfect information. The correct answer indicates that EVPI is the difference between the expected monetary value (EMV) with posterior information and the EMV with prior information.
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