Maximum Likelihood Estimation in Mixed Integer Linear Models
- DOI
- 10.1109/lsp.2023.3324833
- Published
- 2023
- Container
- IEEE Signal Processing Letters
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/lsp.2023.3324833,
title = {Maximum Likelihood Estimation in Mixed Integer Linear Models},
author = {David Tucker and Shen Zhao and Lee C. Potter},
year = {2023},
journal = {IEEE Signal Processing Letters},
doi = {10.1109/lsp.2023.3324833},
url = {https://doi.org/10.1109/lsp.2023.3324833}
}RIS
TY - JOUR TI - Maximum Likelihood Estimation in Mixed Integer Linear Models AU - David Tucker AU - Shen Zhao AU - Lee C. Potter PY - 2023 JO - IEEE Signal Processing Letters DO - 10.1109/lsp.2023.3324833 UR - https://doi.org/10.1109/lsp.2023.3324833 ER -
APA
Tucker, D., Zhao, S., & Potter, L. C. (2023). Maximum Likelihood Estimation in Mixed Integer Linear Models. IEEE Signal Processing Letters. https://doi.org/10.1109/lsp.2023.3324833
Source records
- crossref · retrieved 2026-09-25T12:14:29.453Z