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RV Distributions Continuous
PMFs, CDFs, Expected Values, and Variances of common continuous random varibles
11
Mathematics
Undergraduate 2
11/12/2012

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Cards

Term
Exponential Notation, PDF, and CDF
Definition

X~Exp(λ)

pmf=λe-λx 

for x>=0

cdf= 1-e-λx

for x>=0

 
Term
Gamma Notation and PDF
Definition

X~Gamma(a)

pdf= (λa/Γ(a))xa-1e-λx

 

Term
Beta Notation and PDF
Definition

X~Beta(a,b)

pmf= xa −1(1 − x) b−1/B(a,b)

 

Term
Normal Notation, PDF, and CDF
Definition

X~N(μ,σ2)

pmf= (1/σ√2π)e(-(x-μ)^2/2σ^2)

cdf= Φ(x-μ/σ)

Term
Uniform Notation, PDF, and CDF
Definition

X~Unif(a,b)

pmf= 1/(b-a)

cdf= (x-a)/(b-a) for a<x<b

=1 x>b

Term
Cauchy Notation, PDF, and CDF
Definition

X~Cauchy

pmf= 1/π(1-x2)

cdf= .5+ (1/π)arctan x

Term
Exponential Expected Value and Variance 
Definition

E(X)=1/λ

V(X)=1/λ2

Term
Gamma Expected Value and Variance 
Definition

E(X)= a/λ

V(X)= a/λ2

Term
Beta Expected Value and Variance 
Definition

E(X)= a/(a+b)

V(X)= ab/(a+b)2(a+b+1)

Term
Normal Expected Value and Variance
Definition

E(X)=μ

V(X)=σ2

Term
Uniform Expected Value and Variance
Definition

E(X)=(a+b)/2

V(X)=(b-a)2/12

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