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- In [[probability theory]], a branch of [[mathematics]], a '''random variable''' is, as its name suggests, a "variable" that can take on random values. M ...(\Omega',\mathcal{F}')</math> an arbitrary [[measurable space]]. Then a '''random variable''' is any [[measurable function]] ''X'' mapping <math>(\Omega,\mathcal{F})<2 KB (383 words) - 17:06, 17 October 2007
- 12 bytes (1 word) - 06:05, 17 October 2007
- 124 bytes (20 words) - 08:43, 30 June 2009
- Auto-populated based on [[Special:WhatLinksHere/Random variable]]. Needs checking by a human.814 bytes (102 words) - 19:54, 11 January 2010
Page text matches
- {{rpl|Random variable}}178 bytes (21 words) - 03:19, 15 January 2010
- Function of a discrete random variable yielding the probability that the variable will have a given value.143 bytes (20 words) - 11:01, 4 September 2009
- #REDIRECT [[random variable]]29 bytes (3 words) - 06:46, 14 July 2008
- ...on (measure theory)|distribution function]] corresponding to a real-valued random variable; gives the probability that the variable is less than or equal to ''x''; of284 bytes (39 words) - 05:22, 24 November 2009
- In [[probability theory]], a branch of [[mathematics]], a '''random variable''' is, as its name suggests, a "variable" that can take on random values. M ...(\Omega',\mathcal{F}')</math> an arbitrary [[measurable space]]. Then a '''random variable''' is any [[measurable function]] ''X'' mapping <math>(\Omega,\mathcal{F})<2 KB (383 words) - 17:06, 17 October 2007
- An instance of a random variable used to estimate one or several of its parameters.120 bytes (18 words) - 09:13, 2 July 2009
- the probability that the true value of a random variable lies within the estimated (or predicted) ''confidence interval''.159 bytes (21 words) - 13:51, 1 July 2009
- ...on that defines the probability of occurrence of every possible value of a random variable.150 bytes (20 words) - 02:25, 10 February 2010
- '''Standard deviation''' is statistical measure for the fluctuation of a random variable about its mean value (the square root of the ''variance'').161 bytes (23 words) - 16:10, 6 July 2011
- A statistical measure for the fluctuation of a random variable about its mean value (the square root of the ''variance'').159 bytes (23 words) - 10:09, 18 August 2009
- {{r|Random variable}}575 bytes (70 words) - 07:35, 16 April 2010
- the range of a random variable, such as the mean of a sample, that — with a specified probability &193 bytes (30 words) - 13:46, 1 July 2009
- that divide the range of a [[random variable]] into two parts such that the random variable is less or equal to it3 KB (436 words) - 08:38, 21 January 2010
- {{r|Random variable}}369 bytes (44 words) - 10:59, 2 July 2009
- ...math>) is a [[measurable space]]). A (<math>\mathbb{C}^n</math>-valued) '''random variable''' is defined to be any [[measurable function]] <math>X:(\Omega,\mathcal{F} ...ts</math> of random variables is said to '''converge almost surely''' to a random variable <math>Y</math> if <math>\mathop{\lim}_{k \rightarrow \infty}X_k(\omega)=Y(\2 KB (393 words) - 06:53, 14 July 2008
- two real [[random variable]]s on the same sample space (more precisely, the same [[probability space]] of the two-dimensional random variable (''X'',''Y''),4 KB (694 words) - 17:28, 25 August 2013
- two real [[random variable]]s on the same sample space (more precisely, the same [[probability space]] of the two-dimensional random variable (''X'',''Y''),4 KB (694 words) - 17:27, 25 August 2013
- {{r|Random variable}}306 bytes (39 words) - 11:43, 7 August 2008
- {{r|Random variable}}529 bytes (68 words) - 16:23, 11 January 2010
- {{r|Random variable}}617 bytes (78 words) - 18:24, 11 January 2010
- {{r|Random variable}}538 bytes (69 words) - 18:24, 11 January 2010
- {{r|Random variable}}563 bytes (74 words) - 06:53, 14 July 2008
- {{r|Random variable}}557 bytes (71 words) - 18:24, 11 January 2010
- {{r|Random variable}}679 bytes (84 words) - 20:38, 11 January 2010
- The probability that a normally distributed random variable ''X'' with mean μ and variance σ<sup>2</sup> exceeds ''x'' is671 bytes (89 words) - 12:00, 29 December 2008
- {{r|Random variable}}687 bytes (82 words) - 20:38, 11 January 2010
- Auto-populated based on [[Special:WhatLinksHere/Random variable]]. Needs checking by a human.814 bytes (102 words) - 19:54, 11 January 2010
- {{r|Random variable}}812 bytes (100 words) - 20:22, 11 January 2010
- *That the variance of the [[random variable]] describing the next event grows smaller and smaller. The income for month i can thus be modeled by a random variable <math>U_i=X_i+f(i)</math>, where <math>X_i</math> is the income from the11 KB (1,680 words) - 19:57, 29 September 2020
- ...]''. The sum of the errors need not be zero; the errors are independent [[random variable]]s if the individuals are chosen from the population independently. is a random variable distributed thus:4 KB (662 words) - 11:40, 26 September 2007
- A '''stochastic process''' (or '''random process''') is a collection of [[random variable | random variables]] indexed by a set ''T'' ("time"). That is, a stochastic ...<math>\mathbb{R}^{T'}</math>. The distribution <math>P_{T'}</math> of this random variable is a probability measure on <math>\mathbb{R}^{T'}</math>; many properties o12 KB (1,781 words) - 14:50, 7 December 2008
- ...number|real]] line is given by the following formula, where ''X'' is any [[random variable]] with the distribution in question:2 KB (242 words) - 02:01, 2 February 2009
- '''Example.''' A fair coin is tossed 10 times; the [[random variable]] <math>X</math> is the number of heads in these 10 tosses, and <math>Y</ma ...reat the conditional probability as a random variable, — a function of the random variable <math>X</math>, namely,32 KB (5,149 words) - 15:48, 29 June 2009
- ...ger-Verlag, p. 100.</ref>. A data sample is described by instances of a [[random variable]] of interest, such as a height, weight, polling results, test performance, ...rounded in [[probability theory]]) to learn something about the postulated random variable ''X'' and also its distribution ''F'' by collecting samples, for this parti9 KB (1,291 words) - 04:36, 27 June 2009
- A '''random variable''' <math> X </math> is described by real numbers <math> x_1, \dots, x_n </m ''Professor'' (dealing with a random variable <math>X</math>): ...here we use the evident fact that <math> -1 \le \sin X18 KB (2,797 words) - 14:37, 30 January 2011
- ...ger-Verlag, p. 100.</ref>. A data sample is described by instances of a [[random variable]] of interest, such as a height, weight, polling results, test performance, ...rounded in [[probability theory]]) to learn something about the postulated random variable ''X'' and also its distribution ''F'' by collecting samples, for this parti15 KB (2,373 words) - 12:26, 20 February 2021
- ...ical]] technique used to explain [[variance|variability]] among observed [[random variable]]s in terms of fewer unobserved random variables called '''factors'''. The16 KB (2,339 words) - 19:24, 29 September 2020
- ...om variables|limiting distributions]] of several continuous and [[discrete random variable|discrete]] families of distributions. To indicate that a [[random variable]] ''X'' is normally distributed with mean <math>\mu</math> and variance <ma46 KB (6,956 words) - 07:01, 9 June 2009
- ...ought of a player's true skill as the average of that player's performance random variable, and showed how to estimate the average from results of player's games. The64 KB (10,043 words) - 12:14, 13 March 2024