Approximate confidence intervals for the Population Proportion based on linear model
DOI:
https://doi.org/10.54172/rtn9cg93Keywords:
Linear model, central limit theorem, slutsky's lemma, asymptotic distribution, confidence intervals.Abstract
When the linear model errors are non-normal, one might be interested in making inference concerning proportion. The goal of this article is to construct approximate confidence intervals for the proportion founded on the supposed linear model which cover a true value of a proportion that close to a specific nominal value of the level of significant.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Nuri Eltabit Mohamed (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright of articles published by the Al-Mukhtar Journal of Basic Sciences (MJBS) is retained by the author(s). Authors grant MJBS the right of first publication of their work. All articles published by MJBS are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This license permits users to share and adapt the published material for non-commercial purposes, provided that appropriate credit is given to the author(s), the original publication in MJBS is acknowledged, a link to the license is provided, and any changes made to the original work are indicated. Published articles remain part of the permanent scholarly record of MJBS and may be corrected or retracted in accordance with the journal's correction and retraction policies.
