Least median of squares: a robust method for outlier and model error detection in regression and calibration
- DOI
- 10.1016/s0003-2670(00)82910-4
- Published
- 1986
- Container
- Analytica Chimica Acta
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/s0003-2670-00-82910-4,
title = {Least median of squares: a robust method for outlier and model error detection in regression and calibration},
author = {Desire L. Massart and Leonard Kaufman and Peter J. Rousseeuw and Annick Leroy},
year = {1986},
journal = {Analytica Chimica Acta},
doi = {10.1016/s0003-2670(00)82910-4},
url = {https://doi.org/10.1016/s0003-2670(00)82910-4}
}RIS
TY - JOUR TI - Least median of squares: a robust method for outlier and model error detection in regression and calibration AU - Desire L. Massart AU - Leonard Kaufman AU - Peter J. Rousseeuw AU - Annick Leroy PY - 1986 JO - Analytica Chimica Acta DO - 10.1016/s0003-2670(00)82910-4 UR - https://doi.org/10.1016/s0003-2670(00)82910-4 ER -
APA
Massart, D. L., Kaufman, L., Rousseeuw, P. J., & Leroy, A. (1986). Least median of squares: a robust method for outlier and model error detection in regression and calibration. Analytica Chimica Acta. https://doi.org/10.1016/s0003-2670(00)82910-4
Source records
- crossref · retrieved 2026-11-10T15:08:19.756Z