• MahonianStat

  • Referenced in 12 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...
  • ROCKET

  • Referenced in 13 articles [sw30016]
  • latent inverse covariance matrix. We establish asymptotic normality of ROCKET in an ultra high-dimensional...
  • bernor

  • Referenced in 9 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...
  • frailtySurv

  • Referenced in 4 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...
  • SYMARMA

  • Referenced in 4 articles [sw33904]
  • studies to evaluate the consistency and asymptotic normality of the conditional maximum likelihood estimator...
  • 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...
  • slm

  • Referenced in 3 articles [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 2 articles [sw14649]
  • inversion, that is known to be asymptotically normal...
  • 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...
  • drtmle

  • Referenced in 2 articles [sw37282]
  • with respect both to consistency and asymptotic normality (Benkeser et al (2017),
  • orthoDr

  • Referenced in 2 articles [sw28510]
  • methods circumvent the curse of dimensionality. Asymptotic normality is established for the estimators. We propose...
  • snp

  • Referenced in 2 articles [sw37499]
  • estimators are root-n consistent and asymptotically normal for the model parameters of interest under...
  • plmed

  • Referenced in 2 articles [sw40956]
  • indirect effects and demonstrate consistent asymptotic normality for indirect effects when models for the conditional...
  • 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...
  • TwoCircles

  • Referenced in 1 article [sw40804]
  • test statistic is shown to be asymptotically normal, as one would expect, this large sample ... tables provided here, using combinatorial techniques, and asymptotic critical regions are assessed against these...
  • 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...
  • LAGO

  • Referenced in 1 article [sw40196]
  • intervention effects, and prove consistency and asymptotic normality using a novel coupling argument, ensuring...
  • Blackwelder

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

  • Referenced in 1 article [sw38361]
  • exist. We establish consistency and asymptotic normality for canonical directions and correlations estimated using Kendall...