Please use this identifier to cite or link to this item:
Title: On some multivariate descriptive statistics based on multivariate signs and ranks
Keywords: lp-Signs; lp-Ranks; lp-Quantiles; Affine Equivariance; Multivariate Medians
Issue Date: 29-Apr-2005
Citation: NELUKA DEVPURA (2005-04-29). On some multivariate descriptive statistics based on multivariate signs and ranks. ScholarBank@NUS Repository.
Abstract: In this research, several notions of multivariate symmetry and multivariate medians are discussed. We consider a generalization of univariate quantiles to the multivariate context and producing quantile contour plots. Also some descriptive nonparametric multivariate measures like scale curves, skewness and kurtosis are considered. We plot volume functional as a scale curve which produces two dimensional characterization of the spread of a multivariate distribution of any dimension. We also note bivariate generalization of the boxplot. Since lp-ranks are not affine equivariant, thus scale curves and boxplots based on lp-ranks are not affine equivariant too. Consequently, transformation retransformation procedure is used to construct affine equivariant multivariate lp-quantiles and lp-ranks. Since the real data are not always symmetric we consider multivariate g-and-h distribution which is a skew symmetric distribution. All the descriptive measures are discussed using simulated data from bivariate normal, bivariate Laplace and t-distribution with 4 degrees of freedom and on some real data sets as well.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
NEW_NELUKA_thesis.pdf1.54 MBAdobe PDF



Page view(s)

checked on Nov 17, 2018


checked on Nov 17, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.