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  • Probability distribution/Related Articles
    {{r|Continuous probability distribution}} {{r|Discrete probability distribution}}
    670 bytes (76 words) - 07:31, 16 April 2010
  • Discrete probability distribution/Related Articles
    Auto-populated based on [[Special:WhatLinksHere/Discrete probability distribution]]. Needs checking by a human. {{r|Continuous probability distribution}}
    674 bytes (82 words) - 16:00, 11 January 2010
  • Continuous probability distribution/Related Articles
    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
  • Entropy of a probability distribution/Related Articles
    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
  • Exponential distribution
    ...ion|exponential distribution]]''' is any member of a class of [[continuous probability distribution|continuous probability distributions]] assigning probability *[[Continuous probability distribution]]
    1 KB (164 words) - 06:14, 14 September 2013
  • Zipf distribution
    ...distribution''' and '''zeta distribution''' refer to a class of [[discrete probability distribution]]s. They have been used to model the distribution of words in words in a t
    1 KB (168 words) - 16:41, 6 February 2009
  • Stochastic convergence/Related Articles
    {{r|Continuous probability distribution}} {{r|Discrete probability distribution}}
    687 bytes (82 words) - 20:38, 11 January 2010
  • Poisson distribution
    The '''Poisson distribution''' is any member of a class of [[discrete probability distribution|discrete probability distributions]] named after [[Simeon Denis Poisson]]. *[[Probability distribution]]
    2 KB (233 words) - 09:15, 14 September 2013
  • Measure theory/Related Articles
    {{r|Continuous probability distribution}} {{r|Discrete probability distribution}}
    771 bytes (95 words) - 18:24, 11 January 2010
  • Sigma algebra/Related Articles
    {{r|Continuous probability distribution}} {{r|Discrete probability distribution}}
    812 bytes (100 words) - 20:22, 11 January 2010
  • Probability distributions
    #REDIRECT [[Probability distribution]]
    38 bytes (3 words) - 00:11, 7 May 2007
  • Entropy of a probability distribution
    The '''entropy''' of a [[probability distribution]] is a number that describes the degree of uncertainty or disorder the dist #Given a [[discrete probability distribution]] function f, the entropy H of the distribution (measured in [[bits]]) is
    1 KB (232 words) - 07:17, 4 January 2008
  • Continuous probability distribution/Definition
    Probability distribution where variables can take on arbitrary values in a continuum.
    122 bytes (15 words) - 11:04, 4 September 2009
  • Normal distribution/Related Articles
    {{r|Probability distribution}}
    575 bytes (70 words) - 07:35, 16 April 2010
  • Continuous probability distribution
    ...], along with [[discrete probability distribution|discrete]] and [[hybrid probability distribution|hybrid]] ones. A continuous probability distribution is a function that, whren integrated over a set representing an event, give
    3 KB (390 words) - 07:22, 26 September 2007
  • Skewness/Definition
    a measure of the "lobsideness" of a probability distribution. Positive skewness indicates that the tail of the distribution is more str
    287 bytes (43 words) - 16:21, 23 May 2009
  • Chi-squared goodness of fit test/Definition
    a test for comparing a mathematical probability distribution with observed data.
    117 bytes (14 words) - 05:21, 30 June 2009
  • Template:Probability distribution/Metadata
    | pagename = Probability distribution | abc = Probability distribution
    770 bytes (68 words) - 06:07, 15 March 2024
  • Conditioning (probability)/Related Articles
    {{r|conditional probability distribution}}
    223 bytes (23 words) - 14:30, 29 June 2009
  • Template:Entropy of a probability distribution/Metadata
    | pagename = Entropy of a probability distribution | abc = Entropy of a probability distribution
    831 bytes (81 words) - 08:17, 15 March 2024
  • Normal distribution/Definition
    a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean
    163 bytes (20 words) - 12:25, 1 July 2009
  • Poisson distribution/Related Articles
    {{r|Discrete probability distribution}}
    619 bytes (77 words) - 19:36, 11 January 2010
  • Poisson distribution/Definition
    a probability distribution that is typically used to model the number of independent events (occurring
    202 bytes (29 words) - 02:35, 10 February 2010
  • Kurtosis/Definition
    a mathematical expression defining the shape of a symmetrical probability distribution curve - sometimes referred to as "peakiness". It is sometimes adjusted to p
    464 bytes (64 words) - 16:24, 23 May 2009
  • Discrete probability distribution
    ...ns]]. The other main class in basic [[probability theory]] is [[continuous probability distribution|continuous probability distributions]]. ...bers ranging from 0 to 1 and their sum is exactly 1, we have a [[discrete probability distribution]], and each "degree of belief" is called a [[probability]].
    4 KB (590 words) - 09:17, 26 September 2007
  • Exponential distribution/Related Articles
    {{r|Continuous probability distribution}}
    508 bytes (63 words) - 16:27, 11 January 2010
  • Template:Discrete probability distribution/Metadata
    | pagename = Discrete probability distribution | abc = probability distribution, Discrete
    981 bytes (97 words) - 08:18, 15 March 2024
  • Template:Continuous probability distribution/Metadata
    | pagename = Continuous probability distribution | abc = probability distribution, Continuous
    981 bytes (97 words) - 08:00, 15 March 2024
  • Zipf distribution/Related Articles
    {{r|Discrete probability distribution}}
    456 bytes (57 words) - 21:48, 11 January 2010
  • Template:Poisson distribution/Metadata
    | abc = probability distribution, Poisson
    771 bytes (68 words) - 06:07, 15 March 2024
  • Characteristic function
    * In [[probability theory]], the '''characteristic function''' of any [[probability distribution]] on the [[real number|real]] line is given by the following formula, where
    2 KB (242 words) - 02:01, 2 February 2009
  • Probability distribution
    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 on arbitrary v
    6 KB (870 words) - 12:20, 15 November 2007
  • Template:Exponential distribution/Metadata
    | abc = probability distribution, Exponential
    876 bytes (82 words) - 08:18, 15 March 2024
  • Talk:Probability distribution
    == Probability vs. probability distribution == # Give an '''average''' reader a good and quick grasp of the basic idea of a probability distribution and what it's good for.
    5 KB (829 words) - 15:08, 15 November 2007
  • User talk:Ragnar Schroder
    == [[Continuous probability distribution]] == == [[Continuous probability distribution]] ==
    3 KB (531 words) - 15:29, 4 April 2010
  • Percentile
    In this definition, ''P'' is a probability distribution on the real numbers.
    4 KB (543 words) - 08:41, 21 January 2010
  • Covariance
    taken from a probability distribution — depends on the size ''n'' of the sample
    4 KB (694 words) - 17:28, 25 August 2013
  • Covariance/Citable Version
    taken from a probability distribution — depends on the size ''n'' of the sample
    4 KB (694 words) - 17:27, 25 August 2013
  • Measurable function/Related Articles
    {{r|Probability distribution}}
    617 bytes (78 words) - 18:24, 11 January 2010
  • Stochastic convergence
    *That the probability distribution describing the next outcome may grow increasingly similar to a certain dist ...ence of random experiments becoming better and better modeled by a given [[probability distribution]].
    11 KB (1,680 words) - 19:57, 29 September 2020
  • Stochastic process
    ...om variables]]: non-deterministic (single) quantities which have certain [[probability distribution]]s. Random variables corresponding to various times (or points, in the cas ...>. There is an obvious compatibility condition, namely, that this marginal probability distribution be the same as the one derived from the full-blown stochastic process. When
    12 KB (1,781 words) - 14:50, 7 December 2008
  • Probability space
    ...</math> Thus, the phrase "an integer chosen at random" is meaningless if a probability distribution on the integers is not specified. "The uniform distribution on the integers ...screte distributions converging to the normal shape. However, [[Continuous probability distribution|continuous distributions]] (normal, uniform etc.) of random variables are n
    18 KB (2,797 words) - 14:37, 30 January 2011
  • Power law
    ...so on. However, the term is typically used in the context of power-law [[probability distribution]]s such as the [[Gutenberg-Richter law]] for earthquake sizes, or scaling r
    9 KB (1,454 words) - 08:23, 18 October 2013
  • Conditioning (probability)
    ...ility distribution|distributions]] are treated on three levels: [[Discrete probability distribution|discrete probabilities]], [[probability density function]]s, and [[measure ...istributions. In general, conditional distributions need not be [[discrete probability distribution|atomic]] or [[Absolutely continuous random variable|absolutely continuous]]
    32 KB (5,149 words) - 15:48, 29 June 2009
  • Talk:Statistical significance
    ...es are composite, that is to say, the null hypothesis does not specify the probability distribution of the test statistic uniquely. In that case, denoting the data by X, and t
    2 KB (390 words) - 10:30, 20 February 2021
  • Crash of 2008/Tutorials
    ...ssessment of risk is possible only on the basis of an assumption about the probability distribution of the relevant variables, and the assumption made in the risk-management m
    5 KB (801 words) - 08:31, 11 January 2010
  • Statistics theory/Advanced
    ...[0,5] (measured in metres) and distributed according to some ''unknown'' [[probability distribution]]<ref>This is the case in [[non-parametric statistics]]. On the other hand,
    9 KB (1,291 words) - 04:36, 27 June 2009
  • Credit rating agency/Addendum
    ...ssessment of risk is possible only on the basis of an assumption about the probability distribution of the relevant variables, and the assumption made in the risk-management m
    7 KB (1,053 words) - 05:17, 8 March 2010
  • Talk:Entropy of a probability distribution
    ...y infinite sequence of symbols from a fixed alphabet. We assume there is a probability distribution telling us how likely each symbol is to occur. The entropy is then (unsurpr
    5 KB (841 words) - 11:01, 26 September 2007
  • User:Oleg Yu. Vorobyev/Eventology
    ...certain sense inverse to problems of probability theory, – estimation of [[probability distribution]]s by results of observations upon events.
    16 KB (2,173 words) - 04:29, 22 November 2023
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