Appendix D
Probability and Density Functions

Bernoulli distribution p(y, p) = py(1 − p)1 − y, 0 < p < 1, y = 0, 1
Binomial distribution images 0 < p < 1; y = 0, ..., n
Multinomial distribution images
Exponential family (canonical form) images
Uniform distribution in [a,b] images, a < b, a ≤ y ≤ b
Hypergeometric distribution images
y ∈ {0, … , N}; M ≤ N integer
Normal distribution images;
− ∞  < μ, y <  ∞ , σ > 0
Poisson distribution p(y, λ)=images, λ > 0, y = 0, 1, 2, …
Gamma distribution images
Box‐Cox transformation images
Exponential distribution images
Beta‐distribution images images
Matern‐variogram images, images
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