Code and Data Repository for Efficient input uncertainty quantification for ratio estimator
Abstract
The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper Efficient input uncertainty quantification for ratio estimator by L. He, M.B. Feng and E. Song. The snapshot is based on this SHA in the development repository.
Fields of Study & Subjects
Distributed Sensor Networks and Detection Algorithms
Numerical Methods and Algorithms
GNSS positioning and interference
Publication details
- Journal / source
- INFORMS journal on computing
- Publisher
- Institute for Operations Research and the Management Sciences (INFORMS)
- Publication date
- 3 March 2026