Asymptotic multinormality of linear rank statistics based on independent vector valued random variables is obtained. Under suitable assumptions, weak esti-mates for the remainder terms for convergence to normality are also obtained. Results on asymptotic normality are re-lated to Ha’j ek (1968) and Pun and Sen ( 1969). Re— suits on the remainder terms are related to those ofJure~kov ~ and Pun ( 1975), Bergstrom and Pun ( 1977) , andHu~kov ~ (1977)
AbstractLet X1,…, Xn be i.i.d. random variables symmetric about zero. Let Ri(t) be the rank of |Xi −...
Let Xj=ΣkϵzgkEj−k define a general linear process based on i.i.d. random variables Ej in R. Stochast...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do n...
The joint asymptotic multinormality of certain linear signed-rank statistics introduced by Shane and...
AbstractA new approach to the asymptotic normality of the multivariate linear rank statistics is pro...
AbstractThe joint asymptotic multinormality of certain linear signed-rank statistics introduced by S...
summary:Let $X_j, 1\leq j\leq N$, be independent random $p$-vectors with respective continuous cumul...
Applying the strong approximation technique we present a unified approach to asymptotic results for...
AbstractBy modifying the method of projection, the results of Hajek and Huskova are extended to show...
By modifying the method of projection, the results of Hajek and Huskova are extended to show the asy...
Asymptotic linearity plays a key role in estimation and testing in the presence of nuisance paramete...
The purpose of the paper is to extend the weak asymptotic results for the weighted partial sums of i...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do no...
We study the asymptotic behavior of the rank statistic for unimodal sequences. We use analytic techn...
AbstractLet Xα = (X1α,…, Xpα), 1 ≤ α ≤ Nν, ν ≥ 1 be Nν independent observations from a density funct...
AbstractLet X1,…, Xn be i.i.d. random variables symmetric about zero. Let Ri(t) be the rank of |Xi −...
Let Xj=ΣkϵzgkEj−k define a general linear process based on i.i.d. random variables Ej in R. Stochast...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do n...
The joint asymptotic multinormality of certain linear signed-rank statistics introduced by Shane and...
AbstractA new approach to the asymptotic normality of the multivariate linear rank statistics is pro...
AbstractThe joint asymptotic multinormality of certain linear signed-rank statistics introduced by S...
summary:Let $X_j, 1\leq j\leq N$, be independent random $p$-vectors with respective continuous cumul...
Applying the strong approximation technique we present a unified approach to asymptotic results for...
AbstractBy modifying the method of projection, the results of Hajek and Huskova are extended to show...
By modifying the method of projection, the results of Hajek and Huskova are extended to show the asy...
Asymptotic linearity plays a key role in estimation and testing in the presence of nuisance paramete...
The purpose of the paper is to extend the weak asymptotic results for the weighted partial sums of i...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do no...
We study the asymptotic behavior of the rank statistic for unimodal sequences. We use analytic techn...
AbstractLet Xα = (X1α,…, Xpα), 1 ≤ α ≤ Nν, ν ≥ 1 be Nν independent observations from a density funct...
AbstractLet X1,…, Xn be i.i.d. random variables symmetric about zero. Let Ri(t) be the rank of |Xi −...
Let Xj=ΣkϵzgkEj−k define a general linear process based on i.i.d. random variables Ej in R. Stochast...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do n...