Semi-Empiricial Likelihood Confidence Intervals for the Differences of Two Populations Based on Fractional Imputation

Semi-Empiricial Likelihood Confidence Intervals for the Differences of Two Populations Based on Fractional Imputation

Year:    2009

Author:    Yunxia Bai, Yongsong Qin, Lirong Wang, Ling Li

Communications in Mathematical Research , Vol. 25 (2009), Iss. 2 : pp. 123–136

Abstract

Suppose that there are two populations $x$ and $y$ with missing data on both of them, where $x$ has a distribution function $F(·)$ which is unknown and $y$ has a distribution function $G_θ(·)$ with a probability density function $g_θ(·)$ with known form depending on some unknown parameter $θ$. Fractional imputation is used to fill in missing data. The asymptotic distributions of the semi-empirical likelihood ration statistic are obtained under some mild conditions. Then, empirical likelihood confidence intervals on the differences of $x$ and $y$ are constructed.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2009-CMR-19297

Communications in Mathematical Research , Vol. 25 (2009), Iss. 2 : pp. 123–136

Published online:    2009-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    14

Keywords:    empirical likelihood confidence intervals fractional imputation missing data.

Author Details

Yunxia Bai

Yongsong Qin

Lirong Wang

Ling Li