Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153085 | Statistics & Probability Letters | 2013 | 10 Pages |
Abstract
This paper considers the testing problem of the linear errors-in-variables (EV) model with random censored data. We propose two novel statistics based on the difference between the corrected residual sum of squares (RSS) and empirical likelihood (EL) under the null and alternative hypotheses. Based on adjusted statistics, we develop two testing procedures for the linear EV model with random censoring. Simulation studies and data analysis are conducted to evaluate the small sample performances of the proposed methods.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Linjun Tang, Zhangong Zhou, Changchun Wu,