𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A Parametric Copula-Based Framework for Hypothesis Testing Using Heterogeneous Data

✍ Scribed by Iyengar, S.G.; Varshney, P.K.; Damarla, T.


Book ID
111955041
Publisher
IEEE
Year
2011
Tongue
English
Weight
361 KB
Volume
59
Category
Article
ISSN
1053-587X

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A multivariate hypothesis testing framew
✍ Raisa Z. Freidlin; Evren Γ–zarslan; Yaniv Assaf; Michal E. Komlosh; Peter J. Bass πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 933 KB

## Abstract The primary aim of this work is to propose and investigate the effectiveness of a novel unsupervised tissue clustering and classification algorithm for diffusion tensor MRI (DTI) data. The proposed algorithm utilizes information about the degree of homogeneity of the distribution of dif

A Class of Goodness of Fit Tests for a C
✍ Per K. Andersen; Claus T. EkstrΓΈm; John P. Klein; Youyi Shu; Mei-Jie Zhang πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 152 KB πŸ‘ 2 views

The copula of a bivariate distribution, constructed by making marginal transformations of each component, captures all the information in the bivariate distribution about the dependence between two variables. For frailty models for bivariate data the choice of a family of distributions for the rando