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- 70 bytes (7 words) - 14:33, 29 June 2009
- ...[[probability theory]] is [[continuous probability distribution|continuous probability distributions]]. ==Intro - probability as logic viewpoint==4 KB (590 words) - 09:17, 26 September 2007
- ...], along with [[discrete probability distribution|discrete]] and [[hybrid probability distribution|hybrid]] ones. ...on partitions of the set of propositions, in practice intervals in R. The probability assigned to an interval around f.i. 1.7 meters should thus be much larger t3 KB (390 words) - 07:22, 26 September 2007
- 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
- a mathematical expression that defines the probability of occurrence of every possible value of a random variable.150 bytes (20 words) - 02:25, 10 February 2010
- Probability distribution where variables can take on arbitrary values in a continuum.122 bytes (15 words) - 11:04, 4 September 2009
- 12 bytes (1 word) - 07:22, 26 September 2007
- Class of probability distributions in which the values that might be observed are restricted to184 bytes (26 words) - 11:06, 4 September 2009
- 12 bytes (1 word) - 09:17, 26 September 2007
- {{r|Probability theory}} {{r|Conditioning (probability)}}670 bytes (76 words) - 07:31, 16 April 2010
- [http://www.math.uah.edu/stat/ Virtual Laboratories in Probability and Statistics] [http://www.math.uah.edu/stat/prob Probability Spaces]197 bytes (27 words) - 17:17, 17 October 2009
- {{r|Probability}}868 bytes (138 words) - 17:23, 17 October 2009
- Auto-populated based on [[Special:WhatLinksHere/Normalisation (probability)]]. Needs checking by a human.463 bytes (56 words) - 19:04, 11 January 2010
- Auto-populated based on [[Special:WhatLinksHere/Conditional probability]]. Needs checking by a human. {{r|Conditioning (probability)}}506 bytes (62 words) - 15:38, 11 January 2010
- {{r|probability theory}} {{r|conditional probability}}223 bytes (23 words) - 14:30, 29 June 2009
- ...o]] and [[radar]] transmitters, use a number of mechanisms to minimize the probability they will be detected by [[electronic intelligence]] sensors, and, if detec2 KB (260 words) - 10:44, 8 April 2024
- The '''entropy''' of a [[probability distribution]] is a number that describes the degree of uncertainty or diso #Given a [[discrete probability distribution]] function f, the entropy H of the distribution (measured in1 KB (232 words) - 07:17, 4 January 2008
- Auto-populated based on [[Special:WhatLinksHere/Discrete probability distribution]]. Needs checking by a human. {{r|Conditioning (probability)}}674 bytes (82 words) - 16:00, 11 January 2010
- Auto-populated based on [[Special:WhatLinksHere/Circular error probability]]. Needs checking by a human.571 bytes (72 words) - 12:10, 20 March 2024
- Auto-populated based on [[Special:WhatLinksHere/Continuous probability distribution]]. Needs checking by a human. {{r|Discrete probability distribution}}674 bytes (82 words) - 15:40, 11 January 2010
Page text matches
- #REDIRECT [[Probability space]]31 bytes (3 words) - 13:15, 15 May 2010
- ...distribution''' and '''zeta distribution''' refer to a class of [[discrete probability distribution]]s. They have been used to model the distribution of words in The Zipf distribution with parameter ''n'' assigns probability proportional to 1/''r'' to an integer ''r'' ≤ ''n'' and zero otherwise,1 KB (168 words) - 16:41, 6 February 2009
- ...' is any member of a class of [[discrete probability distribution|discrete probability distributions]] named after [[Simeon Denis Poisson]]. ...But for some reason, no matter how recent or long ago last event was, the probability that another event will occur within the next hour is exactly the same (say2 KB (233 words) - 09:15, 14 September 2013
- {{r|Continuous probability distribution}} {{r|Discrete probability distribution}}687 bytes (82 words) - 20:38, 11 January 2010
- {{r|Probability theory}}61 bytes (6 words) - 19:25, 23 October 2009
- #REDIRECT [[Circular error probability]]40 bytes (4 words) - 16:55, 21 September 2008
- The '''entropy''' of a [[probability distribution]] is a number that describes the degree of uncertainty or diso #Given a [[discrete probability distribution]] function f, the entropy H of the distribution (measured in1 KB (232 words) - 07:17, 4 January 2008
- {{r|Probability}} {{r|Conditioning (probability)}}1 KB (158 words) - 20:38, 26 January 2011
- {{r|Probability theory}} {{r|Probability}}164 bytes (19 words) - 16:18, 7 July 2010
- ...ut a function whose argument takes on a particular value according to some probability [[measure]] (a measure that takes on the value 1 over the largest set on wh Let <math>(\Omega,\mathcal{F},P)</math> be an arbitrary [[measure space|probability space]] and <math>(\Omega',\mathcal{F}')</math> an arbitrary [[measurable s2 KB (383 words) - 17:06, 17 October 2007
- <!-- Text is transcluded from the Probability blindness/definition subpage-->90 bytes (11 words) - 16:19, 27 June 2010
- Conditional probability of exposure to a treatment given observed covariates.113 bytes (13 words) - 13:02, 22 November 2011
- Probability distribution where variables can take on arbitrary values in a continuum.122 bytes (15 words) - 11:04, 4 September 2009
- {{r|Probability theory}} {{r|Probability distribution}}575 bytes (70 words) - 07:35, 16 April 2010
- the chosen probability of wrongly rejecting a null hypothesis (usually set at 5%).118 bytes (15 words) - 08:24, 30 June 2009
- Describes the probability of success when repeatedly tossing a (fair or unfair) coin.122 bytes (16 words) - 18:12, 1 July 2009
- ...acteristic is possessed by, a typical member of a population...the terms [[probability]], relative frequency, and proportion are used synonymously."<ref name="isb623 bytes (86 words) - 12:57, 22 November 2011
- A [[clinical prediction rule]] to estimate the probability of complications in patients with community acquired [[pneumonia]].162 bytes (19 words) - 14:06, 6 July 2008
- ...n]] and [[statistics|statistician]] credited with major contributions to [[probability theory]].176 bytes (18 words) - 14:16, 22 May 2011
- The probability that the given sequence of random variables converges is 1.111 bytes (14 words) - 06:39, 14 July 2008