Week 2- Decision Analysis Flashcards

1
Q

Motivations for decision analysis

A

Psychological comfort, communicating, advocacy, generating new solutions and making better decisions.

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2
Q

3 parts of decision making

A

choices, events and payoffs

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3
Q

tree

A

sequence of decisions or events

can change the probabilities

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4
Q

dominated alternative

A

some other choice that is better for all possible outcomes

can eliminate from the choice set, wont have to lose money analyzing

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5
Q

6 steps of decision making

A

Clearly define the problem at hand
List the possible alternatives
Identify the possible outcomes or state of nature
LIst the payoff of each combo of alternatives and outcomes
Select one of the mathematical decision theory models
Apply the model and make the decision

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6
Q

3 types of decision-making environments

A

under certainty, under uncertainty, under risks.

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7
Q

Under certainty

A

decision maker knows with certainty the consequences of each alternative or decision choice

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8
Q

Under uncertainty

A

decision maker does not know the probabilities of the various outcomes

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9
Q

Under Risks

A

decision maker knows the probabilities of the various outcomes

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10
Q

Maxi Min

A

Choose Mins of each column

Choose max of mins

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11
Q

Maxi Max

A

Choose Max of each column
Chose max of max
BIggest in the table

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12
Q

Mini Max regret

A

1) Create regret table
2) In columns, list regret of choosing each option. Give best option a 0 and difference is the regret of others.
3) List max’s of the rows and pick minimumof the max

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13
Q

Laplace

A

Add all columns up and select the highest

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14
Q

Mini Mini

A

Smallest Value in chart

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15
Q

Expected value of perfect information

A

max we would be willing to pay for the perfect information
EVPI= EVwPI -EMV= additional benefit
money when you have perfecr info- money when you dont have perfect info

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16
Q

Expected value of sample information

A

(EV with SI + cost) -(EV without sample info)

17
Q

Utility

A

The value of a monetary outcome to an individual

18
Q

Utility function

A

Translates the payoff to utility

19
Q

Risk Adverse

A

They prefer certainty over risk

Cocave Graph

20
Q

Risk Loving

A

Prefers the potential upside of risk over certaimty

Convex graph