4) Generating Functions Flashcards

1
Q

What is the probability generating function

A
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2
Q

If X is finite what does it pgf look like

A

PX(t) is a polynomial function

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3
Q

How can you find P(X=k) for a discrete random variable X using its pgf

A
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4
Q

What is the pgf for a Bernoulli distribution

A
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5
Q

What is the pgf for a Binomial distribution

A
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6
Q

What is the pgf for a Poisson distribution

A
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7
Q

What is the pgf for a Geometric distribution

A
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8
Q

How are the expectation and variance of a discrete random variable related to its pgf

A
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9
Q

What is the pgf for the sum of independent discrete random variables

A
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10
Q

What is the moment generating function (mgf)

A
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11
Q

What is the mgf of discrete and continous random variables

A
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12
Q

What are the properties of mgf

A
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13
Q

What is the mgf of the Poisson Distribution

A
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14
Q

What is the mgf of the Exponential Distribution

A
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15
Q

What is the mgf of the Standard Normal Distribution

A
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16
Q

What is the mgf of the Normal Distribution

A
17
Q

What is the k-th moment of a random variable

A
18
Q

What are the properties of the mgf if MX(t) < ∞ for all t such that |t| < δ, for some δ > 0

A
19
Q

What is the mgf of the sum of independent random variables

A
20
Q

What is the gamma function

A
21
Q

What are the properties of the gamma function

A
22
Q

What is the pdf of the gamma distribution

A
23
Q

What is the mgf of the Gamma Distribution

A
24
Q

What is Wald’s identity

A
25
Q

What are the properties of the mgf and pgf for a sum of i.i.d. random variables

A