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- A '''probability''' is a number representing the likelihood of a random event or an uncertai ...athematical tool intended to formalize this ubiquitous mental process. The probability concept is a part of this theory, and is intended to formalize uncertainty.4 KB (672 words) - 14:38, 30 January 2011
- 188 bytes (30 words) - 06:26, 30 June 2009
- ...ility of any event may change. This changed probability is the conditional probability. ...nge. The probability of obtaining a 1, 3 or 5 will go down to 0, while the probability of obtaining a 2, 3 or 6 will go up to 2/6 (or 1/3). These new probabilitie2 KB (246 words) - 10:44, 6 June 2012
- In [[probability theory]], the notion of '''probability space''' Third, the [[probability]] of an event.18 KB (2,797 words) - 14:37, 30 January 2011
- In [[mathematics|mathematical]] [[probability]] [[equation]]s, which are used in nearly all branches of [[science]], a '' ...ed into two main groups: discrete probability distributions and continuous probability distributions.3 KB (389 words) - 13:28, 2 January 2009
- ...ee levels: [[Discrete probability distribution|discrete probabilities]], [[probability density function]]s, and [[measure theory]]. Conditioning leads to a non-ra ===Conditional probability===32 KB (5,149 words) - 15:48, 29 June 2009
- 81 bytes (10 words) - 19:51, 27 February 2010
- 12 bytes (1 word) - 12:30, 13 November 2007
- A [[probability distribution]] is a mathematical approach to quantifying uncertainty. ...discrete values only (typically the positive integers), while [[continuous probability distribution|continuous distributions]] describe variables that can take o6 KB (870 words) - 12:20, 15 November 2007
- #REDIRECT [[Probability distribution]]38 bytes (3 words) - 00:11, 7 May 2007
- <!-- Text is transcluded from the Probability blindness/definition subpage-->90 bytes (11 words) - 16:19, 27 June 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
- ...], 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
- 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
- '''Circular error probability''' is the most common metric of the accuracy to which a weapon can be deliv2 KB (321 words) - 07:28, 18 March 2024
- In mathematical probability equations, a constant (or function) used to ensure that the sum of all prob160 bytes (22 words) - 13:20, 2 January 2009
- Is the probability that a given event occurs given the knowledge of some partial information a165 bytes (24 words) - 01:02, 18 February 2009
- 133 bytes (18 words) - 06:48, 4 January 2010
- 12 bytes (1 word) - 13:20, 2 January 2009
- 146 bytes (15 words) - 14:17, 29 June 2009
- The human brain's observed inability to make intuitive estimates of the probability of an event, even when presented with all of the relevant evidence186 bytes (27 words) - 16:18, 27 June 2010
- 12 bytes (1 word) - 12:34, 13 November 2007
- 81 bytes (10 words) - 06:30, 1 May 2010
- 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
- Probability distribution where variables can take on arbitrary values in a continuum.122 bytes (15 words) - 11:04, 4 September 2009
- 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) - 07:22, 26 September 2007
- 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
- A set of techniques to minimize the probability of hostile interception of a [[radio]] or [[radar]] signal142 bytes (20 words) - 11:55, 25 July 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
- 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
- 208 bytes (25 words) - 23:56, 13 August 2009
- 12 bytes (1 word) - 11:02, 26 September 2007
- 47 bytes (4 words) - 01:51, 4 January 2009
- 127 bytes (16 words) - 06:34, 4 September 2009
- Auto-populated based on [[Special:WhatLinksHere/Entropy of a probability distribution]]. Needs checking by a human. {{r|Continuous probability distribution}}549 bytes (67 words) - 16:19, 11 January 2010
Page text matches
- [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 theory}} {{r|Probability}}344 bytes (43 words) - 17:04, 14 July 2008
- * P. Billingsley, ''Probability and Measure'' (2 ed.), ser. Wiley Series in Probability and Mathematical Statistics, Wiley, 1986. * D. Williams, ''Probability with Martingales'', Cambridge : Cambridge University Press, 1991.347 bytes (38 words) - 06:52, 14 July 2008
- {{r|Probability theory}} {{r|Conditioning (probability)}}670 bytes (76 words) - 07:31, 16 April 2010
- 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
- The [[probability]] that the event occurs divided by the probability that the event does not occur.136 bytes (19 words) - 20:48, 26 January 2011
- Auto-populated based on [[Special:WhatLinksHere/Entropy of a probability distribution]]. Needs checking by a human. {{r|Continuous probability distribution}}549 bytes (67 words) - 16:19, 11 January 2010
- 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
- ...probability distribution|continuous probability distributions]] assigning probability ...e characteristic of the exponential distribution is that the [[conditional probability|conditional probabilities]] satisfy P(''X'' > ''x'' + '1 KB (164 words) - 06:14, 14 September 2013
- {{r|probability theory}} {{r|conditional probability}}223 bytes (23 words) - 14:30, 29 June 2009
- ...ility of any event may change. This changed probability is the conditional probability. ...nge. The probability of obtaining a 1, 3 or 5 will go down to 0, while the probability of obtaining a 2, 3 or 6 will go up to 2/6 (or 1/3). These new probabilitie2 KB (246 words) - 10:44, 6 June 2012
- ...to be independent if the probability of A occurring is not affected by the probability of B occurring and vice versa. Two events are said to be independent if the probability of both events occurring is equal to the multiple of the probabilities of e771 bytes (133 words) - 13:32, 7 February 2009
- {{r|Conditioning (probability)}} {{r|Continuous probability distribution}}771 bytes (95 words) - 18:24, 11 January 2010
- {{r|Continuous probability distribution}} {{r|Discrete probability distribution}}812 bytes (100 words) - 20:22, 11 January 2010
- In [[mathematics|mathematical]] [[probability]] [[equation]]s, which are used in nearly all branches of [[science]], a '' ...ed into two main groups: discrete probability distributions and continuous probability distributions.3 KB (389 words) - 13:28, 2 January 2009
- ...(or the sum of the products of the value of each possible outcome and its probability of occurring).210 bytes (34 words) - 02:21, 5 June 2010
- {{r|Convergence in probability}} {{r|Probability}}563 bytes (74 words) - 06:53, 14 July 2008
- {{r|Probability}} {{r|Probability distributions}}369 bytes (44 words) - 10:59, 2 July 2009
- ...''A'' in terms of the probabilities of ''A'' and ''B'' and the conditional probability of ''A'' given ''B''.201 bytes (29 words) - 16:55, 14 July 2008
- #REDIRECT [[Probability distribution]]38 bytes (3 words) - 00:11, 7 May 2007
- #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
- a test for comparing a mathematical probability distribution with observed data.117 bytes (14 words) - 05:21, 30 June 2009
- The probability that the given sequence of random variables converges is 1.111 bytes (14 words) - 06:39, 14 July 2008
- 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
- Describes, in mathematics, a measure (including probability and statistical distributions) by means of its integrals over subsets.167 bytes (20 words) - 17:35, 24 August 2009
- ...], 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
- In mathematical probability equations, a constant (or function) used to ensure that the sum of all prob160 bytes (22 words) - 13:20, 2 January 2009
- Statistical diagnostic in which a ratio is computed between the maximum probability of a result under two different hypotheses.164 bytes (22 words) - 20:22, 7 September 2009
- ...cian known for his work on definite integrals, electromagnetic theory and probability theory.163 bytes (17 words) - 01:44, 30 June 2009
- A '''probability''' is a number representing the likelihood of a random event or an uncertai ...athematical tool intended to formalize this ubiquitous mental process. The probability concept is a part of this theory, and is intended to formalize uncertainty.4 KB (672 words) - 14:38, 30 January 2011
- ...th>\scriptstyle \mu(\Omega)=1</math> then the measure space is called a '''probability space'''. [[Probability theory]]590 bytes (82 words) - 05:53, 12 May 2008
- ...of a variable (those less and those greater than it) according to a given probability.170 bytes (25 words) - 05:39, 9 December 2009