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...rg/wiki/Fourier_hyperfunction Fourier hyperfunction] in the [[Encyclopedia of Mathematics]] ...ial time complexity]], and in the [[Growth rate (group theory)|growth rate of groups]], where a subexponential growth rate implies that a group is [[amen ...

{{Probability distribution | ...called the NEG distribution) is a three-parameter family of continuous [[probability distribution]]s. It has a [[location parameter]] <math>\mu</math>, [[scale ...

...st3=Casper G.|title=Asset Market Linkages in Crisis Periods|journal=Review of Economics and Statistics|date=2004|volume=86|issue=1|pages=313–326|doi=10.1 that is, the inverse of the [[cumulative probability distribution function]] for ''q''. ...

{{Probability distribution| ...hor-link2 = John Tukey| title = Understanding some long-tailed symmetrical distributions| journal = Statistica Neerlandica | volume = 26| issue = 3 | pages = 211–22 ...

...ain of the variable is constrained to be positive in the [[Maximum entropy probability distribution|maximum entropy]] procedure, the [[q-exponential distribution] ...d [[machine learning]]. The distributions are often used for their [[heavy tails]]. ...

{{Short description|Type of light-tailed probability distribution}} ...'subexponential distribution''' is as a [[probability distribution]] whose tails decay at an exponential rate, or faster: a real-valued distribution <math>\ ...

...doi=10.2307/1907644}}</ref><ref name=Champ53>{{cite journal|title=A Model of Income Distribution ...}}</ref> Champernowne developed the distribution to describe the logarithm of income.<ref name=Champ52/> ...

...They are the discrete analogue of [[stable distribution|continuous-stable distributions]]. ...rge-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth|journal=Cognitive Science|date=2005|volume=29|issue=1|pages ...

{{DISPLAYTITLE:Folded-''t'' and half-''t'' distributions}} ...tribution|Student's ''t''-distribution]] by taking the [[absolute value]]s of variates. This is analogous to the [[folded normal distribution|folded-norm ...

{{Probability distribution ...</math> (real), [[scale parameter]]<br/><math>\nu</math> (real), [[degrees of freedom]] ([[shape parameter|shape]]) parameter ...

{{Probability distribution ...eter estimation for fractional Poisson processes|year=2010|journal=Journal of Statistical Planning and Inference|volume=140|issue=11|pages=3106–3120|doi= ...

...mmetric multivariate Laplace distribution variables are asymmetric Laplace distributions.<ref name=kotz>{{cite book|title=The Laplace Distribution and Generalizatio {{Probability distribution ...

...ualities for the Sum of Independent Random Variables | journal = [[Journal of the American Statistical Association]] | volume = 57 | issue = 297 | pages ...M2013>{{cite book|title=Concentration inequalities, a nonasymptotic theory of independence | first1=Stephane | last1=Boucheron | first2=Gabor|last2=Lugos ...

...orem (the [[Fisher–Tippett–Gnedenko theorem]]), which concerns the maximum of a sample, the Pickands–Balkema–De Haan theorem describes the values above a ...eorem describes the conditional distribution function <math>\ F_u\ </math> of the variable <math>\ X\ </math> above a certain threshold <math>\ u ~.</mat ...

{{Short description|Possible result of an experiment or trial}} {{Probability fundamentals}} ...

{{Short description|Continuous probability distribution}} {{Probability distribution ...

...ity distribution]] to a series of data concerning the repeated measurement of a variable phenomenon. ...]] the [[Frequency (statistics)|frequency]] of occurrence of the magnitude of the phenomenon in a certain interval. ...

{{Short description|Probability distribution}} ...whilst the ''κ''-exponential distribution of Type II is a particular case of the [[Kaniadakis Weibull distribution|''κ''-Weibull distribution]]. ...

...huffling]] [[playing card]]s, the '''Gilbert–Shannon–Reeds model''' is a [[probability distribution]] on [[riffle shuffle permutation]]s.<ref>{{citation | publisher = Institute of Mathematical Statistics ...

...empered stable processes have been proposed for overcoming this limitation of the stable distribution. ...[volatility clustering]]. In the GARCH model, the innovation (or residual) distributions are assumed to be a standard normal distribution, despite the fact that thi ...