Semi-parametric inference in a bivariate (multivariate) mixture model
We consider estimation in a bivariate mixture model in which the component distributions can be decomposed into identical distributions. Previous approaches to estimation involve parametrizing the distributions. In this paper, we use a semi-parametric approach. The method is based on the exponential...
Saved in:
Main Authors: | LEUNG, Denis H. Y., QIN, Jing |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2006
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/435 https://ink.library.smu.edu.sg/context/soe_research/article/1434/viewcontent/A16n19.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Semiparametric Analysis in Conditionally Independent Multivariate Mixture Models
by: Wrobel, T., et al.
Published: (2015) -
A Semi-parametric Two-Component Compound Mixture Model and Its Application to Estimating Malaria Attributable Fractions
by: Qin, Jing, et al.
Published: (2005) -
A semi-parametric two-component compound mixture model and its application to estimating Malaria attributable fractions
by: QIN, Jing, et al.
Published: (2004) -
Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates
by: Wang, Shanshan, et al.
Published: (2016) -
Analysing Survey Data with Incomplete Responses by Using a Method Based on Empirical Likelihood
by: Leung, Denis H. Y., et al.
Published: (2006)