PreprintCC BY 4.0arXiv
Robustness against lying of the confidence interval for a fraction of population with a sensitive characteristic
Abstract
In the investigations devoted to sensitive questions the problem is with the truthfulness of survey participants. We offer a fresh perspective on respondent deception. We investigate the influence of lying on the properties of the confidence intervals for the fraction of the sensitive part of a population. It is shown that the coverage probability is robust against lying.
Related
- Parametric bootstrap simultaneous confidence interval based on doubly type-II censoring
- Exact Conditional Confidence Intervals for Cramér's V: Near-Nominal and Tight Where the Guaranteed Interval Is Wide and the Software Interval Does Not Cover
- On the Proportion of Time that a Conventional Confidence Interval Covers
- The Elliptically Optimal Confidence Interval: A Bivariate Extension of Wilson's Score Method
- Risk-Sensitive Learning in Population Games under Extreme Events: Bifurcations and Chaotic Dynamics
BibTeX
@misc{zielinski2026robustness,
title = {{Robustness against lying of the confidence interval for a fraction of population with a sensitive characteristic}},
author = {Wojciech Zieliński},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.03481},
eprint = {2611.03481},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.03481},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Robustness against lying of the confidence interval for a fraction of population with a sensitive characteristic
AU - Wojciech Zieliński
PY - 2026
DA - 2026/11/02
PB - arXiv
DO - 10.48550/arxiv.2611.03481
UR - https://arxiv.org/abs/2611.03481
AB - In the investigations devoted to sensitive questions the problem is with the truthfulness of survey participants. We offer a fresh perspective on respondent deception. We investigate the influence of lying on the properties of the confidence intervals for the fraction of the sensitive part of a population. It is shown that the coverage probability is robust against lying.
ER -