• PhFit

  • Referenced in 22 articles [sw01789]
  • results in satisfactory fitting also for heavy-tail distributions. Moreover, PhFit allows the user...
  • EbayesThresh

  • Referenced in 13 articles [sw11103]
  • vector are modelled as having, independently, a distribution that is a mixture of an atom ... probability at zero and a suitable heavy-tailed distribution. The mixing parameter can be estimated...
  • GSM

  • Referenced in 12 articles [sw10497]
  • estimation of a mixture of gamma distributions in which the mixing occurs over the shape ... flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient...
  • heavy

  • Referenced in 4 articles [sw13216]
  • heavy: Package for robust estimation using heavy-tailed distributions. This package contains functions to perform ... robust estimation considering heavy-tailed distributions. Currently, the package includes linear regression, linear mixed-effect...
  • NAGSAT

  • Referenced in 4 articles [sw11453]
  • distributed search paradigm. Nagging exploits the heavy-tailed distribution of 3-SAT solution time...
  • LambertW

  • Referenced in 7 articles [sw06066]
  • generalized way to analyze skewed, heavy-tailed data. Lambert W random variables (RV) are based ... input is a RV X with distribution F(x), and the output Y = func ... heavy-tailed). Then this transformed RV Y has a Lambert W x F distribution ... Lambert W analysis of skewed and heavy-tailed data: data can be simulated, parameters...
  • poweRlaw

  • Referenced in 2 articles [sw19742]
  • Heavy Tailed Distributions: The poweRlaw Package. Over the last few years, the power law distribution ... techniques used to fit the power law distribution have been inappropriate. This paper describes ... makes fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions...
  • Powerlaw

  • Referenced in 2 articles [sw29150]
  • Python package for analysis of heavy-tailed distributions. Power laws are theoretically interesting probability distributions...
  • condmixt

  • Referenced in 1 article [sw25011]
  • Conditional density estimation with mixtures for heavy-tailed distributions...
  • EMMIXcskew

  • Referenced in 3 articles [sw16159]
  • CFUST) via maximum likelihood (ML). The CFUST distribution provides a flexible family of models ... heavy-tails in the data. It formally encompasses the normal, t, and skew-normal distributions...
  • EViews

  • Referenced in 30 articles [sw00254]
  • Eviews supports general statistical analysis and econometric analyses...
  • ManySAT

  • Referenced in 29 articles [sw00544]
  • ManySAT: a parallel SAT solver. ManySAT, a new...
  • Mathematica

  • Referenced in 5224 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 10505 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 6593 articles [sw00771]
  • R is a language and environment for statistical...
  • Geist

  • Referenced in 3 articles [sw01286]
  • The work on Geist was motivated by the...
  • EquiLoad

  • Referenced in 11 articles [sw01549]
  • EquiLoad: a load balancing policy for clustered web...
  • SatEx

  • Referenced in 15 articles [sw01588]
  • SatEx: A web-based framework for SAT experimentation...
  • SATLIB

  • Referenced in 57 articles [sw02107]
  • SATLIB is a collection of benchmark problems, solvers...