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  • #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 (say
    2 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 in
    1 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 s
    2 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
  • Describes the probability of success when repeatedly tossing a (fair or unfair) coin.
    122 bytes (16 words) - 18:12, 1 July 2009
  • the chosen probability of wrongly rejecting a null hypothesis (usually set at 5%).
    118 bytes (15 words) - 08:24, 30 June 2009
  • ...acteristic is possessed by, a typical member of a population...the terms [[probability]], relative frequency, and proportion are used synonymously."<ref name="isb
    623 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 t
    3 KB (390 words) - 07:22, 26 September 2007
  • In mathematical probability equations, a constant (or function) used to ensure that the sum of all prob
    160 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
  • the probability that the true value of a random variable lies within the estimated (or pred
    159 bytes (21 words) - 13:51, 1 July 2009
  • ...the range of a distribution into ten intervals with (at least) 10 percent probability each (see [[percentile]]).
    199 bytes (26 words) - 12:32, 23 November 2009
  • &mdash; at least on first glance &mdash; surprising result of [[probability theory]]: This problem was introduced and discussed in the 1930s when modern probability theory emerged and is often attributed to [[Richard von Mises]].
    4 KB (538 words) - 01:33, 9 July 2010
  • Expression for the relative probability that a subsystem of a physical system in [[thermal equilibrium]] has a cert
    162 bytes (22 words) - 12:05, 18 January 2011
  • Method of predicting the probability of occurrence of an event by fitting data to a logistic curve.
    136 bytes (20 words) - 09:39, 4 September 2009
  • ...s]], [[elasticity]] and [[plasticity]] of materials, [[statistics]], and [[probability]].
    156 bytes (15 words) - 15:37, 6 December 2008
  • ==Probability Density== ...ath> is <math>p_{\left(0\right)}\left(x\right)</math>, then the transition probability for state <math>y</math> occurring at time <math>n + 1</math> can be expres
    3 KB (460 words) - 06:34, 8 January 2008
  • [http://www.math.uah.edu/stat/ Virtual Laboratories in Probability and Statistics]
    331 bytes (45 words) - 00:38, 18 May 2010
  • a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity
    163 bytes (20 words) - 12:25, 1 July 2009
  • Two events are independent if the probability of their occurring jointly equals the product of their respective probabili
    163 bytes (21 words) - 19:45, 4 September 2009
  • ...[[probability theory]] is [[continuous probability distribution|continuous probability distributions]]. ==Intro - probability as logic viewpoint==
    4 KB (590 words) - 09:17, 26 September 2007
  • Class of probability distributions in which the values that might be observed are restricted to
    184 bytes (26 words) - 11:06, 4 September 2009
  • ...ong other things to provide a rigid basis for measure theory and axiomatic probability theory.
    173 bytes (23 words) - 17:40, 26 June 2008
  • ...nt portfolio that is expected to occur during a stated period at a stated probability[http://lexicon.ft.com/term.asp?t=value-at-risk--VAR].
    208 bytes (31 words) - 03:38, 2 January 2010
  • {{r|Probability density function}}
    164 bytes (18 words) - 17:37, 1 February 2011
  • a probability distribution that is typically used to model the number of independent even
    202 bytes (29 words) - 02:35, 10 February 2010
  • 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
  • A set of techniques to minimize the probability of hostile interception of a [[radio]] or [[radar]] signal
    142 bytes (20 words) - 11:55, 25 July 2008
  • {{r|Normalisation (probability)}}
    81 bytes (8 words) - 11:09, 31 May 2009
  • Is the probability that a given event occurs given the knowledge of some partial information a
    165 bytes (24 words) - 01:02, 18 February 2009
  • The probability of a false rejection of the null hypothesis in a statistical test.
    119 bytes (17 words) - 19:46, 4 September 2009
  • ...broadband search and location elecromagnetic detection system with a high probability of detection and a low false-alarm rate
    169 bytes (22 words) - 03:48, 19 November 2008
  • 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
  • ...hyl-2,3-dinitrobutane, used to tag [[plastic explosives]] and increase the probability of their detection
    193 bytes (24 words) - 20:10, 20 April 2010
  • *[http://www.socialresearchmethods.net/kb/sampprob.php Probability Sampling] William M.K. Trochim, ''Research Methods Knowledge Base?'' 2006.
    370 bytes (41 words) - 01:36, 28 February 2009
  • ...ombination of medical sign, symptoms, and other findings in predicting the probability of a specific disease or outcome.
    210 bytes (30 words) - 06:05, 7 September 2009
  • ...r A or B will occur is equal to the probability that A will occur plus the probability that B will occur,<br> ...both occur is equal to the probability that A will occur multiplied by the probability that B will occur,<br>
    6 KB (978 words) - 23:00, 25 October 2013
  • In probability theory, the event that two persons in a group celebrate their birthday on t
    177 bytes (27 words) - 17:20, 7 July 2010
  • ...economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events.
    243 bytes (30 words) - 07:29, 14 September 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 evidence
    186 bytes (27 words) - 16:18, 27 June 2010
  • * In [[probability theory]], the '''characteristic function''' of any [[probability distribution]] on the [[real number|real]] line is given by the following f :where "E" means [[expected value]]. See [[characteristic function (probability theory)]].
    2 KB (242 words) - 02:01, 2 February 2009
  • 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 o
    6 KB (870 words) - 12:20, 15 November 2007
  • Class of continuous probability distributions that describe the times between events in a Poisson process,
    239 bytes (34 words) - 11:08, 4 September 2009
  • #REDIRECT [[Power law#Power law probability distributions (Pareto distributions)]]
    82 bytes (9 words) - 13:03, 14 February 2007
  • Theory of the probability of transmission of messages with specified accuracy when the bits of inform
    273 bytes (34 words) - 08:55, 4 September 2009
  • the risk that arises in a situation in which the probability of an occurrence that is three standard deviations away from the mean is gr
    214 bytes (35 words) - 02:29, 22 May 2009
  • ...dom variable, such as the mean of a sample, that &mdash; with a specified probability &mdash; contains the true value for the population.
    193 bytes (30 words) - 13:46, 1 July 2009
  • ...ution function]] corresponding to a real-valued random variable; gives the probability that the variable is less than or equal to ''x''; often abbreviated as CDF.
    284 bytes (39 words) - 05:22, 24 November 2009
  • ...cisely, but can possibly be in a collection of pure states, with a certain probability of being in one of the pure states.
    240 bytes (39 words) - 01:14, 30 April 2009
  • a measure of the "lobsideness" of a probability distribution. Positive skewness indicates that the tail of the distributio
    287 bytes (43 words) - 16:21, 23 May 2009
  • according to a given [[probability]]. with probability at least &alpha;, and
    3 KB (436 words) - 08:38, 21 January 2010
  • '''Bayes' Theorem''' is a theorem in [[probability theory]] named for [[Thomas Bayes]] (1702&ndash;1761). ....,&nbsp;''H''<sub>''n''</sub> is known. What is needed is the conditional probability of each hypothesis ''H''<sub>''i''</sub> given ''D''. Bayes' Theorem says
    3 KB (601 words) - 11:23, 26 January 2011
  • [[Explosives]], principally for military use, which have an extremely low probability of detonating accidentally or other than as intended in a specific applicat
    421 bytes (60 words) - 17:02, 22 March 2024
  • ...the [[world as myth]] paradigm, base on the use of a time-space-alternate probability machine. It has a great many subtle references to earlier works and may be
    361 bytes (56 words) - 10:08, 26 June 2009
  • ...fic purposes (e.g., time series analysis, factor analysis, calculators for probability distributions, etc.), while others are general packages, with a variety of
    476 bytes (61 words) - 20:20, 2 March 2010
  • ...may not be exposed to factors [[hypothesis|hypothesized]] to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are def
    433 bytes (60 words) - 17:49, 14 May 2010
  • ...ed by a [[nuclear fission]] (by one neutron) which cause another fission: (probability to crack a nucleus)*(mean number of neutrons produced by a single fission)
    276 bytes (41 words) - 21:45, 26 November 2012
  • ...crease the probability that dysuria is due to [[vaginitis]] and reduce the probability that dysuria is due to [[urinary tract infection]].
    1 KB (192 words) - 11:50, 8 September 2008
  • ...ihood ratio} = \frac{\mbox{probability of test result with disease}}{\mbox{probability of same result without disease}}</math> This is a form of [[Bayes' theorem]] from [[probability theory]]. In this form the theorem is called [[Bayes' rule]].
    5 KB (738 words) - 20:35, 15 August 2012
  • a mathematical expression defining the shape of a symmetrical probability distribution curve - sometimes referred to as "peakiness". It is sometimes
    464 bytes (64 words) - 16:24, 23 May 2009
  • {{r|Probability theory}}
    339 bytes (44 words) - 05:37, 9 December 2009
  • {{r|Moment (probability theory)}}
    237 bytes (25 words) - 09:13, 29 January 2010
  • ...[definite integral]]s, [[electromagnetism | electromagnetic theory]] and [[probability theory]]. ...e Probability of Criminal and Civil Verdicts) (1837), an important work on probability theory, the [[Poisson distribution]] first appeared. Poisson's other works
    2 KB (317 words) - 11:12, 5 October 2009
  • {{r|Probability theory}}
    260 bytes (36 words) - 13:28, 26 July 2008
  • {{r|Probability}}
    542 bytes (63 words) - 14:59, 1 November 2014
  • {{r|Low probability of intercept}}
    402 bytes (55 words) - 17:51, 28 July 2009
  • ...fallacies of not seeing the trap in the professor's logic in [[probability|probability theory]].
    2 KB (269 words) - 12:04, 23 April 2009
  • ...'' on an event is the [[probability]] that the event occurs divided by the probability that the event does not occur. The word comes from gambling and represents
    1 KB (248 words) - 23:47, 25 October 2013
  • ...[[random variable]]s on the same sample space (more precisely, the same [[probability space]]). In a more general context of probability theory
    4 KB (694 words) - 17:27, 25 August 2013
  • ...[[random variable]]s on the same sample space (more precisely, the same [[probability space]]). In a more general context of probability theory
    4 KB (694 words) - 17:28, 25 August 2013
  • In this definition, ''P'' is a probability distribution on the real numbers. * from a (theoretical) probability measure (such as the [[normal distribution|normal]] or [[Poisson distributi
    4 KB (543 words) - 08:41, 21 January 2010
  • {{r|Low probability of intercept}}
    686 bytes (86 words) - 21:24, 30 November 2013
  • '''Bayesian message classification''' is the process of using [[Bayesian probability|Bayesian statistical methods]] to classify documents into categories. ...n spam email, times the probability that any email is spam, divided by the probability of finding those words in any email:
    7 KB (1,096 words) - 19:12, 27 September 2009
  • ...o]] and [[radar]] transmitters, use a number of mechanisms to minimize the probability they will be detected by [[electronic intelligence]] sensors, and, if detec
    2 KB (260 words) - 10:44, 8 April 2024
  • {{r|Discrete probability distribution}}
    456 bytes (57 words) - 21:48, 11 January 2010
  • Auto-populated based on [[Special:WhatLinksHere/Normalisation (probability)]]. Needs checking by a human.
    463 bytes (56 words) - 19:04, 11 January 2010
  • {{r|Continuous probability distribution}}
    508 bytes (63 words) - 16:27, 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
  • In [[statistics]], a '''propensity score''' is a "conditional probability of exposure to a treatment given observed covariates."<ref>{{MeSH}}</ref>< .../sim.3245 |url= |issn=}}</ref> The propensity score is the "conditional probability of receiving one of the treatments under comparison ... given the observed
    2 KB (299 words) - 13:00, 22 November 2011
  • {{r|Probability distribution}}
    617 bytes (78 words) - 18:24, 11 January 2010
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