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Decision Theory
Decisions
There are many types of decision making
1. Decision making under uncertainty
It refer to situations where more than one outcome can result from any single decision
2. Decision making under certainty
Whenever there exists only one outcome for a decision we are dealing along with this category for example linear programming, transportation sequencing and assignment and so on.
3. Decision making by using prior data
This occurs whenever it is possible to employ past experience or prior data to develop probabilities for the happened of each data
4. Decision making with no prior data
No past experience exists that can be utilized to derive outcome probabilities in this case the decision maker uses her or his subjective estimates of probabilities for different outcomes
1-tan^2 A/1+tan^2 = cos A - sinA/cos A
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1. Consider the model Y t = β 0 + β 1 X t + ε t , where t = 1,..., n. If the errors ε t are not correlated, then the OLS estimates of β 0 and β
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