arXiv · 1803.01240
An extension of Azzalini's method
Abstract
The aim of this paper is to extend Azzalini's method. This extension is done in two stages: consider two dependent and non-identically distributed random variables say $X_1$ and $X_2$; model the dependence between $X_1$ and $X_2$ by a copula. To illustrate the new method, we assume $X_1$ and $X_2$ are exponential random variables. This assumption leads to a new distribution called the Generalized Weighted Exponential Distribution (GWED), a generalization of Gupta and Kundu (2009)'s Weighted Exponential Distribution (WED). Some mathematical properties of the GWED are derived, and its parameters estimated by maximum likelihood. The GWED is applied to biochemical data sets showing its good performance compared to the WED.
Explore related subjects
Keep this discovery
Filippo Domma, Božidar V. Popović, Saralees Nadarajah. 2018-03-03. An extension of Azzalini's method. https://arxiv.org/abs/1803.01240
Cite the original work for its findings. Save a collection to share your selection of sources.