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Created page with '{|class="wikitable" |- ! Distribution ! PDF/PMF ! Mean ! Variance |- | Bernoulli <math>\, P(X=1)=p</math> | <math> \begin{cases}...'
 
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| [[Poisson distribution|Poisson]] Pois(''?'')
| [[Poisson distribution|Poisson]] Pois(''?'')
| <math>\frac{\lambda^k}{k!}\cdot e^{-\lambda}</math>
| <math>\frac{\lambda^k}{k!}\cdot e^{-\lambda}</math>
(for <math>k\ge 0</math> where <math>\Gamma(x, y)\,\!</math> is the [[Incomplete gamma function]] and <math>\lfloor k\rfloor</math> is the [[floor function]])
| <math>\lambda\,\!</math>
| <math>\lambda\,\!</math>
| <math>\lambda\,\!</math>
| <math>\lambda\,\!</math>

Latest revision as of 14:24, 20 September 2013

Distribution PDF/PMF Mean Variance
Bernoulli
Geometric
Binomial B(n, p) np np(1 - p)
Poisson Pois(?)
Uniform (continuous) U(a, b)
Uniform (discrete) U(a, b)
Normal N(µ, s2) µ
Chi-squared ?2k k 2k
Gamma G(k, ?)

(see digamma function)


(see trigamma function )
Exponential Exp(?) ? e-?x ?-1 ?-2
Multivariate normal N(µ, S)
exists only when S is positive-definite
µ S
Degenerate da
Laplace L(µ, b) µ 2b2
Negative Binomial NB(r, p) involving a binomial coefficient
Cauchy Cauchy(µ, ?) undefined undefined