October 2019
Intermediate to advanced
472 pages
13h 34m
English
| Bernoulli distribution | p(y, p) = py(1 − p)1 − y, 0 < p < 1, y = 0, 1 |
| Binomial distribution | 0 < p < 1; y = 0, ..., n |
| Multinomial distribution | ![]() |
| Exponential family (canonical form) | |
| Uniform distribution in [a,b] | |
| Hypergeometric distribution |
y ∈ {0, … , N}; M ≤ N integer |
| Normal distribution |
;
− ∞ < μ, y < ∞ , σ > 0 |
| Poisson distribution | p(y, λ)= |
| Gamma distribution | ![]() |
| Box‐Cox transformation | ![]() |
| Exponential distribution | |
| Beta‐distribution | |
| Matern‐variogram | , |