Article ID Journal Published Year Pages File Type
1153085 Statistics & Probability Letters 2013 10 Pages PDF
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
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