112 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.The remainder of my thesis studies multivariate symmetry. Several well-studied parametric and nonparametric tests for univariate symmetry are extended to multivariate settings. We study the asymptotic distributions of these multivariate tests, and we propose a new criterion to compare their asymptotic relative efficiency. Monte Carlo simulation studies shed some light on the performance of these test statistics.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
<p>Many nonparametric multivariate one-sample tests in the literature require the assumption of symm...
SUMMARY. We propose nonparametric one-sided test procedures for multivariate data. For small sample ...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
We propose a modification of the data driven score rank tests studied recently in Inglot et al. 201...
This study deals with testing the hypothesis of univariate symmetry about a known and unknown parame...
In this paper several rank order statistics for the univariate two-sample testing problem are propos...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
AbstractWe propose different nonparametric tests for multivariate data and derive their asymptotic d...
We propose different nonparametric tests for multivariate data and derive their asymptotic distri-bu...
We are constructing, for the problem of univariate symmetry (with respect to specified or unspecifie...
We propose new data driven score rank tests for univariate symmetry about an unknown center. We con...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
We propose different nonparametric tests for multivariate data and derive their asymptotic distribut...
Usually, two statistical procedures A and B are compared by means of their asymptotic relative effic...
A class of bivariate rank tests are developed for the two-sample problem of testing equality of dist...
<p>Many nonparametric multivariate one-sample tests in the literature require the assumption of symm...
SUMMARY. We propose nonparametric one-sided test procedures for multivariate data. For small sample ...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
We propose a modification of the data driven score rank tests studied recently in Inglot et al. 201...
This study deals with testing the hypothesis of univariate symmetry about a known and unknown parame...
In this paper several rank order statistics for the univariate two-sample testing problem are propos...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
AbstractWe propose different nonparametric tests for multivariate data and derive their asymptotic d...
We propose different nonparametric tests for multivariate data and derive their asymptotic distri-bu...
We are constructing, for the problem of univariate symmetry (with respect to specified or unspecifie...
We propose new data driven score rank tests for univariate symmetry about an unknown center. We con...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
We propose different nonparametric tests for multivariate data and derive their asymptotic distribut...
Usually, two statistical procedures A and B are compared by means of their asymptotic relative effic...
A class of bivariate rank tests are developed for the two-sample problem of testing equality of dist...
<p>Many nonparametric multivariate one-sample tests in the literature require the assumption of symm...
SUMMARY. We propose nonparametric one-sided test procedures for multivariate data. For small sample ...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...