A New Class of Generalized Distributions for Survival and Lifetime Data Analysis: Theory and Applications

Journal article

Authors / Editors

Research Areas

Publication Details

Subtitle: A New Class of Generalized Distributions for Survival and Lifetime Data Analysis: Theory and Applications

Publisher: Wiley-VCH Verlag

Publication year: 2017

Volume number: 15

Issue number: 2

ISSN: 0938-5193

URL: file:///C:/Users/kethmoloi/Downloads/JPSS30_Aug.2017.pdf

Languages: English-United States (EN-US)

Abstract

This paper introduces a methodology for approximating the density function of a bivariate continuous distribution. This approach consists in adjusting a suitable initial density approximation by means of a linear combination of bivariate orthogonal polynomials. Such adjustments are shown to be mathematically equivalent to making use of standard bivariate polynomials. Once extended to apply to density estimation, the proposed technique readily lends itself to the modeling of massive data sets. Several illustrative examples are presented.

Keywords

Bivariate density estimation; Bivariate Hermite polynomials; Bivariate normal distribution; Density approximation; Joint moments.

Documents

No matching items found.