@inproceedings{a1f9547938954b90a52faa2d450a3af7,
title = "Empirical Likelihood-Based Confidence Regions for the Structural Relationship Parameter",
abstract = "Structural relationship models describe a semi-parametric relationship between two distribution functions such as location-scale or Lehmann alternative models. The relationship is determined by some structural relationship parameter h. Our aim is to construct the confidence region for h and to validate the presence of the structural relationship between two samples. We address this problem by considering the empirical likelihood method for probability-probability plots.",
keywords = "confidence regions, empirical likelihood, Lehmann alternatives, location-scale models, P-P plots, proportional hazards, Structural relationship models",
author = "Leonora Pahirko and Jānis Valeinis",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.",
year = "2023",
month = jul,
day = "14",
doi = "10.1145/3613347.3613354",
language = "English",
isbn = "979-8-4007-0018-7",
series = "ACM International Conference Proceeding Series",
publisher = "ACM Digital Library",
pages = "38--47",
booktitle = "ICoMS 2023 - 2023 6th International Conference on Mathematics and Statistics",
}