We study the asymptotic behavior of the rank statistic for unimodal sequences. We use analytic techniques involving asymptotic expansions in order to prove asymptotic formulas for the moments of the rank. Furthermore, when appropriately normalized, the values of the unimodal rank asymptotically follow a logistic distribution. We also prove similar results for Durfee unimodal sequences and semi-strict unimodal sequences, with the only major difference being that the (normalized) rank for semistrict unimodal sequences has a distributional limit of a point mass probability distribution. (c) 2020 Elsevier Inc. All rights reserved
This paper is devoted to the study of certain unimodal sequences related to binomial coefficients. A...
The asymptotic variance and distribution of Spearman's rank correlation have previously been known o...
AbstractSeries expansions of moments of order statistics are obtained from expansions of the inverse...
Asymptotic multinormality of linear rank statistics based on independent vector valued random variab...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do no...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do n...
summary:The purpose of the paper is to investigate weak asymptotic behaviour of rank statistics prop...
AbstractLet Xα = (X1α,…, Xpα), 1 ≤ α ≤ Nν, ν ≥ 1 be Nν independent observations from a density funct...
The joint asymptotic multinormality of certain linear signed-rank statistics introduced by Shane and...
By modifying the method of projection, the results of Hajek and Huskova are extended to show the asy...
AbstractBy modifying the method of projection, the results of Hajek and Huskova are extended to show...
AbstractThe joint asymptotic multinormality of certain linear signed-rank statistics introduced by S...
Series expansions of moments of order statistics are obtained from expansions of the inverse of the ...
Let Xj=ΣkϵzgkEj−k define a general linear process based on i.i.d. random variables Ej in R. Stochast...
The purpose of the paper is to extend the weak asymptotic results for the weighted partial sums of i...
This paper is devoted to the study of certain unimodal sequences related to binomial coefficients. A...
The asymptotic variance and distribution of Spearman's rank correlation have previously been known o...
AbstractSeries expansions of moments of order statistics are obtained from expansions of the inverse...
Asymptotic multinormality of linear rank statistics based on independent vector valued random variab...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do no...
The classical theory of rank-based inference is entirely based either on ordinary ranks, which do n...
summary:The purpose of the paper is to investigate weak asymptotic behaviour of rank statistics prop...
AbstractLet Xα = (X1α,…, Xpα), 1 ≤ α ≤ Nν, ν ≥ 1 be Nν independent observations from a density funct...
The joint asymptotic multinormality of certain linear signed-rank statistics introduced by Shane and...
By modifying the method of projection, the results of Hajek and Huskova are extended to show the asy...
AbstractBy modifying the method of projection, the results of Hajek and Huskova are extended to show...
AbstractThe joint asymptotic multinormality of certain linear signed-rank statistics introduced by S...
Series expansions of moments of order statistics are obtained from expansions of the inverse of the ...
Let Xj=ΣkϵzgkEj−k define a general linear process based on i.i.d. random variables Ej in R. Stochast...
The purpose of the paper is to extend the weak asymptotic results for the weighted partial sums of i...
This paper is devoted to the study of certain unimodal sequences related to binomial coefficients. A...
The asymptotic variance and distribution of Spearman's rank correlation have previously been known o...
AbstractSeries expansions of moments of order statistics are obtained from expansions of the inverse...