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 of normal...
13 KB (3,326 words) - 19:26, 12 August 2023
sophisticated ideas of probability theory. Its symbolism allows the treatment of sums, products, ratios and general functions of random variables, as well as...
17 KB (3,623 words) - 23:49, 10 May 2024
Normal distribution (redirect from Normally distributed)
Sub-Gaussian distribution Sum of normally distributed random variables Tweedie distribution – The normal distribution is a member of the family of Tweedie exponential...
142 KB (22,359 words) - 17:19, 5 June 2024
Multivariate normal distribution (redirect from Jointly normally distributed)
counterexamples for more than two random variables. In general, they sum to a mixture model.[citation needed] In general, random variables may be uncorrelated but...
65 KB (9,474 words) - 00:08, 11 May 2024
Cantor Fisher–Tippett (or Gumbel) Pareto Benford's law Sum of normally distributed random variables Borel's paradox (Related topics: integral transforms)...
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f(X)=X} of the random variable. However, even for non-real-valued random variables, moments can be taken of real-valued functions of those variables. For...
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Binomial distribution (redirect from Binomial random variable)
A Binomial distributed random variable X ~ B(n, p) can be considered as the sum of n Bernoulli distributed random variables. So the sum of two Binomial...
51 KB (7,629 words) - 05:17, 31 May 2024
Probability distribution (redirect from Continuous Random Variables)
distribution of a sum of squared standard normal variables; useful e.g. for inference regarding the sample variance of normally distributed samples (see...
47 KB (6,402 words) - 08:33, 2 June 2024
special case of another with a broader parameter space Transforms (function of a random variable); Combinations (function of several variables); Approximation...
21 KB (2,366 words) - 21:43, 18 January 2024
Log-normal distribution (section Multiplication and division of independent, log-normal random variables)
probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln(X)...
71 KB (9,576 words) - 15:42, 2 June 2024