Chapter 5 Modeling Distributions Flashcards

1
Q

What are empirical distributions?

A

distribution derived from empirical observations

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2
Q

What are analytic distributions?

A

a distribution where the CDF is a mathematical function.

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3
Q

What is the mathmatical definition of the exponential distribution?

A
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4
Q

When are exponential distributions seen in the real world?

A

Come up when we look at a series of events and measure the times between events, called interarrival times.

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5
Q

How do you test a data set to see if it has a exponential distribution?

A

You plot the complementary CDF ( which is 1 - CDF(x) ) on a log scale and if line produced has slope negative lambda then it is approximately an exponential distribution

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6
Q

What two parameters define the Normal Distribution?

A

mean and standard deviation

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7
Q

What transformation is used to test a data set for normal distribution fit?

A

There is no transformation to test a normal distribution.

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8
Q

What is a normal probability plot?

A

A graphical technique to identify departers from normality.

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9
Q

How do you test to see if a normal distribution is accurate for a data set?

A

Use a normal probability plot.

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10
Q

How is the lognormal distribution related to the normal distribution?

A

CDFlognormal(x) = CDFnormal( log(x) )

(if the log of a set of values have a normal distribution, the values have a log normal distribution)

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11
Q

What is the CDF of the Pareto Distribution?

A

CDF(x) = 1 - (x / xm ) -a

xm is min possible value

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12
Q

What visual test is used to indicate if an empirical distribution fit with the Pareto distribution?

A

On a log-log scale, the CCDF looks like a sraight line.

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13
Q

What distribution is the generalized Weibull distribution?

A

Exponenial Distribution

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