A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which...
41 KB (6,423 words) - 14:22, 3 June 2024
there exist several different notions of convergence of sequences of random variables, including convergence in probability, convergence in distribution...
40 KB (5,158 words) - 18:21, 7 May 2024
Probability distribution (redirect from Continuous Random Variable)
many different random values. Probability distributions can be defined in different ways and for discrete or for continuous variables. Distributions with...
47 KB (6,402 words) - 08:33, 2 June 2024
and statistics, a collection of random variables is independent and identically distributed if each random variable has the same probability distribution...
18 KB (2,625 words) - 04:26, 3 June 2024
The algebra of random variables in statistics, provides rules for the symbolic manipulation of random variables, while avoiding delving too deeply into...
17 KB (3,623 words) - 23:49, 10 May 2024
probability, and statistics, a multivariate random variable or random vector is a list or vector of mathematical variables each of whose value is unknown, either...
21 KB (3,433 words) - 09:35, 25 March 2024
calculation of the sum of normally distributed random variables is an instance of the arithmetic of random variables. This is not to be confused with the sum...
13 KB (3,326 words) - 19:26, 12 August 2023
complex random variables are a generalization of real-valued random variables to complex numbers, i.e. the possible values a complex random variable may take...
16 KB (2,276 words) - 03:38, 16 November 2023
Bernoulli distribution (redirect from Bernouli random variable)
mathematician Jacob Bernoulli, is the discrete probability distribution of a random variable which takes the value 1 with probability p {\displaystyle p} and the...
11 KB (1,644 words) - 19:22, 5 May 2024
Exponential distribution (redirect from Exponential random variable)
parameter. The distribution is supported on the interval [0, ∞). If a random variable X has this distribution, we write X ~ Exp(λ). The exponential distribution...
42 KB (6,567 words) - 11:02, 26 May 2024