Title

Modeling binary familial data using Gaussian copula

Document Type

Article

Publication Date

Fall 2017

Publication Source

Communications in Statistics - Theory and Methods

Volume

46

Issue

20

Inclusive pages

10097-10102

DOI

10.1080/03610926.2016.1228971

Peer Reviewed

yes

Abstract

Modeling binary familial data has been a challenging task due to the

dependence among family members and the constraints imposed on

the joint probability distribution of the binary responses. This paper

investigates some useful familial dependence structures and proposes

analyzing binary familial data usingGaussian copula model.Advantages

of this approach are discussed aswell as some computational details. An

numerical example is also presented with an aim to show the capability

of Gaussian copula model in more sophisticated data analysis.

Keywords

Gaussian copula, familial dependence, maximum likelihood, binary data

Disciplines

Applied Statistics | Categorical Data Analysis | Multivariate Analysis

This document is currently not available here.

  Contact Author

Share

COinS