• MahonianStat

  • Referenced in 8 articles [sw06180]
  • Mahonian probability distribution on words is asymptotically normal According to the corrigendum, notions and results ... proofs that the distribution is asymptotically normal. The first is computer-assisted, based...
  • bernor

  • Referenced in 5 articles [sw19665]
  • consistent and asymptotically normal estimate of the minimizer θ * of the Kullback-Leibler information ... asymptotic variance are provided for constructing confidence regions for θ * . We give logit-normal generalized...
  • RBVE

  • Referenced in 2 articles [sw27810]
  • model is established, and the asymptotic normality of the maximum likelihood estimator of the parameters ... performed in support of the asymptotic normality. A practical data set is considered...
  • frailtySurv

  • Referenced in 2 articles [sw19047]
  • variety of frailty distributions, including gamma, log-normal, inverse Gaussian and power variance function ... parameters’ estimators. The parameters’ estimators are asymptotically normally distributed, and therefore statistical inference based...
  • E7171

  • Referenced in 1 article [sw25931]
  • original poly-k test is asymptotically standard normal ... under the null hypothesis. However, the asymptotic normality is not valid if there ... test assesses the significance of assumed asymptotic normal tests and investigates an empirical distribution...
  • ChildCountStatistics

  • Referenced in 1 article [sw28290]
  • Maple package to study the joint asymptotic normality of pairs of child count statistics ... evidence that the numbers are pairwise asymptotically normal...
  • slm

  • Referenced in 1 article [sw29154]
  • Hannan (1973), who proved the asymptotic normality of the (normalized) least squares estimators (LSE) under ... propose different ways to estimate the asymptotic covariance matrix of the LSE, and then...
  • GEPNER

  • Referenced in 1 article [sw14649]
  • inversion, that is known to be asymptotically normal...
  • QMLE

  • Referenced in 2 articles [sw11082]
  • parameter estimates from QML are asymptotically unbiased and normally distributed. Our software provides asymptotically correct...
  • HIRSCH

  • Referenced in 1 article [sw21284]
  • carries statistical analysis, and emprically proves asymptotic normality and concentration of measure...
  • orthoDr

  • Referenced in 1 article [sw28510]
  • methods circumvent the curse of dimensionality. Asymptotic normality is established for the estimators. We propose...
  • Blackwelder

  • Referenced in 1 article [sw10038]
  • often used statistical procedures -- the classical asymptotic normal approximation and the same method with...
  • Algorithm 955

  • Referenced in 2 articles [sw17442]
  • cumulative distribution function. An asymptotic approximation based on the standard Normal approximation is particularly good ... other hardware with vector units, a second asymptotic approximation based on Temme’s approximation...
  • ARACNE

  • Referenced in 22 articles [sw17200]
  • gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing ... prove that ARACNE reconstructs the network exactly (asymptotically) if the effect of loops...
  • NPCovSepTest

  • Referenced in 1 article [sw29095]
  • based on the normality assumption or the large-sample asymptotic properties of the test statistics ... free; thus it is robust to non-normality of the data. In addition, unlike...
  • glmmML

  • Referenced in 7 articles [sw07509]
  • effects models. The package glmmML allows non-normal distributions in the specification of random intercepts ... bootstrapping technique is implemented to replace asymptotic analysis. The random intercepts model is fitted using...
  • asympTest

  • Referenced in 1 article [sw19800]
  • presentation. In the variance parameter cases, the asymptotic robustness of the classical tests depends ... departure of the data distribution from normality measured in terms of the kurtosis...
  • GofKmt

  • Referenced in 2 articles [sw15135]
  • known that Khmaladze martingale transformation method provides asymptotic distribution free test for the GOF problem ... critical value of GOF test for normal, Cauchy, and logistic distributions...
  • BayesMallows

  • Referenced in 0 articles [sw26332]
  • provides functions for estimating the partition function (normalizing constant) of the Mallows rank model, both ... sampling algorithm of Vitelli et al. and asymptotic approximation with the IPFP algorithm (Mukherjee, Annals...
  • PROC CALIS

  • Referenced in 1 article [sw12071]
  • large samples. Consequently, the assumption of normality is much more important than in models with ... observations is sufficiently large, Browne’s asymptotically distribution-free (ADF) estimation method can be used...