3 Flashcards

1
Q

Monte Carlo Simulation

A

evaluate plan or decision where there is uncertainty (random factor) involved.
1. Select random variable values
2. Calculate outcome with random variables and controllable inputs.
3. repeat (n times).

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2
Q

Three components to simulation; two combine for the third.

A

Controllable Inputs, Random Variables, and Output

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3
Q

Discrete Distribution

A

finite numbers of values are possible.

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4
Q

Uniform Distribution

A

infinite values in a range are equally likely of happening.

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5
Q

Normal Distribution

A

infinite values under a range in a normal distribution.

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6
Q

Verification

A

check that scripting and calculations work as intended.

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7
Q

Validation

A

check that output is possible in the real world.

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8
Q

Simulation pros and cons

A

Pros
-simplifies a problem
-easy to tweak
Cons
-only a simulation
-assumptions are made

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