Decision making Flashcards

1
Q

Payoffs

A

In order to evaluate each course of action, the decision maker must associate a value or payoff with the result of each event. In business applications, this payoff is usually expressed in terms of profits or costs, although other payoffs such as units of satisfaction or utility are sometimes considered. In the chapter-opening scenario the payoff is the return on investment.

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2
Q

Payoff table

A

A table that shows the values associated with every possible event that can occur for each course of action.

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3
Q

Opportunity loss

A

The opportunity loss is the difference between the highest possible profit for an event and the actual profit for an action taken.

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4
Q

Opportunity loss

A

The opportunity loss is the difference between the highest possible profit for an event and the actual profit for an action taken.

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5
Q

Expected monetary value EMV

A

The sum of payoffs for each event and action multiplied by the respective event probabilities.

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6
Q

Expected opportunity loss EOL

A

The sum of the losses for each event and action multiplied by the respective event probabilities.

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7
Q

Link between EMV and EOL

A

Earlier, you learned how to use the expected monetary value criterion when making a decision. An equivalent criterion, based on opportunity losses, is introduced next. Payoffs and opportunity losses can be viewed as two sides of the same coin. It all depends on whether you wish to view the prob- lem in terms of maximising expected monetary value or minimising expected opportunity loss.

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8
Q

EVPI

A

The expected opportunity loss from the best decision is called the expected value of perfect information (EVPI).

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9
Q

Expected profit under certainty

A

The expected profit under certainty represents the expected profit that you could make if you have perfect information about which event will occur.

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10
Q

EVPI =

A

expected profit under certainty − expected monetary value of the best alternative

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11
Q

EPVI explained

A

This EVPI value of $19.2 million represents the maximum amount that you should be will- ing to pay for perfect information. Of course, you can never have perfect information and you should never pay the entire EVPI for more information. Rather, the EVPI provides a guideline for an upper bound on how much you might consider paying for better informa- tion. The EVPI is also the expected opportunity loss of not marketing the model.

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12
Q

Payoff table example

A

Photos 1-2

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13
Q

Decision tree example

A

Photo 3

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14
Q

Opp loss example

A

Photo 4

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15
Q

EMV equation

A

Photo 5

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16
Q

Calculating EMV example

A

Photos 6-7

17
Q

EOL equation

A

Photo 8

18
Q

Calculating EOl example

A

Photo 9

19
Q

EVPI example

A

Photos 10-11

20
Q

Statistical inference

A

the theory, methods, and practice of forming judgements about the parameters of a population and the reliability of statistical relationships, typically on the basis of random sampling.