Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information
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- Опубликовано: 4 июн 2015
- In this tutorial, we discuss Decision Making With Probabilities (Decision Making under Risk).
We calculate Expected Monetary Value (EMV) and Expected Value of Perfect Information (EVPI).
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Thanks man! Super helpful! As well as the first part. Keep it up!
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My brother, same here. Mine is even worst bc I think my lecturer is solving EVwPI as simply EMV. I'm so lost
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Thank you for this video. Can you please explain how you calculated the probabilities?
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ruclips.net/video/o-oQKsJuapY/видео.html
Thanks for the good tutorial
Thank you for making the definitions and calculations of EVPI and EVWPI!!! so clear I was having trouble grasping the concept! :D
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sir plz tell me about the probability where 0.2 0.50 and 0.3 came from
it will be given in the question
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@@joshemman it's been 4 years, I'm a new student having a problem understanding this. But thanks to you problem solved! God bless you.
Very nicely explained ... Thank you very much..
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Great explanation. I would like to know a practical example of the utility of the EVPI please.
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Thank you very much for your video. But please how do you generate the probabilities of the state of nature
Thank you for this lesson. It will surely help with my homework, however, I am having trouble setting up a similar table for a product (i.e. cheese) that will have a loss if not sold in 1 months time. The demand and probabilities are given. How do I account for predicted losses? I hope my question makes sense.
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