Sebaran probabilitas: Béda antarrépisi

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Baris ka-33:
== Jejer penting dina sebaran probabiliti ==
 
Sababaraha sebaran probabiliti kacida pentingna dina teori atawa pamakean dibere ngaran nu husus:
Several probability distributions are so important in theory or applications that they have been given specific names:
* Sebaran diskrit
* Discrete distributions
** Dina kaayaan terhingga
** With finite support
*** The [[degenerate distribution|Sebaran ''degenerate'']] atdina ''x''<sub>0</sub>, wherenumana ''X'' isngarupakeun certainnilai topenting takedicokot thejadi valuenilai ''x<sub>0</sub>''. This does not look random, but it satisfies the definition of [[random variable]]. This is useful because it puts deterministic variables and random variables in the same formalism.
*** The discrete [[uniform distribution]], where all elements of a finite [[set theory|set]] are equally likely. This is supposed to be the distribution of a balanced coin, an unbiased die, a casino roulette or a well-shuffled deck. Also, one can use measurements of quantum states to generate uniform random variables. All these are "physical" or "mechanical" devices, subject to design flaws or perturbations, so the uniform distribution is only an approximation of their behaviour. In digital computers, [[Pseudorandom number sequence|pseudo-random number generators]] are used to produced a [[randomness|statistically random]] discrete uniform distribution.
*** The [[Bernoulli distribution]], which takes value 1 with probability ''p'' and value 0 with probability ''q''=1-''p''.
Baris ka-74:
*** [[Multivariate distribution]]
*** [[Multinomial distribution]], a generalization of the [[sebaran binomial]].
*Sebaran nilai-matrix
*Matrix-valued distributions
**[[Wishartsebaran distributionWishart]]
**[[Matrix normal distribution]]
**[[Matrix T distribution]]