Publications

Empirical-likelihood-based hypothesis tests for the means of two zero-inflated populations.

Faculty Author(s): Stewart, Patrick
Student Author(s): -
Department: MATH
Publication: Communications in Statistics: Simulation & Computation
Year: 2021
Abstract: Abstract In this paper, we propose a novel nonparametric method based on the adjusted empirical likelihood (AEL) and the transformed empirical likelihood (TEL), which are two modified versions of the empirical likelihood (EL). The proposed method is considered to conduct a hypothesis test for the equality of the means of two populations containing many zeroes. The asymptotic results have been established. Simulations are conducted under various scenarios to investigate the performance of the proposed method as well as in comparison with the EL, AEL, TEL and the normal approximation (NA) in terms of type I error rates and powers. All methods are applied to four datasets to illustrate the hypothesis testing procedure. [ABSTRACT FROM AUTHOR] Copyright of Communications in Statistics: Simulation & Computation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Link: Empirical-likelihood-based hypothesis tests for the means of two zero-inflated populations.