
MahonianStat
 Referenced in 11 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 computerassisted, based...

ROCKET
 Referenced in 8 articles
[sw30016]
 latent inverse covariance matrix. We establish asymptotic normality of ROCKET in an ultra highdimensional...

bernor
 Referenced in 5 articles
[sw19665]
 consistent and asymptotically normal estimate of the minimizer θ * of the KullbackLeibler information ... asymptotic variance are provided for constructing confidence regions for θ * . We give logitnormal 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 3 articles
[sw19047]
 variety of frailty distributions, including gamma, lognormal, inverse Gaussian and power variance function ... parameters’ estimators. The parameters’ estimators are asymptotically normally distributed, and therefore statistical inference based...

SYMARMA
 Referenced in 3 articles
[sw33904]
 studies to evaluate the consistency and asymptotic normality of the conditional maximum likelihood estimator...

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

E7171
 Referenced in 1 article
[sw25931]
 original polyk 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...

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 3 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 31 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...

glmmML
 Referenced in 8 articles
[sw07509]
 effects models. The package glmmML allows nonnormal distributions in the specification of random intercepts ... bootstrapping technique is implemented to replace asymptotic analysis. The random intercepts model is fitted using...

NPCovSepTest
 Referenced in 1 article
[sw29095]
 based on the normality assumption or the largesample asymptotic properties of the test statistics ... free; thus it is robust to nonnormality of the data. In addition, unlike...

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...