Journal article Open Access

On the Robust Parameter Estimation Method for Linear Model with Autocorrelated Errors in the Presence of High Leverage Points and Outliers in the Y-Direction

Dahir Abdi Ali; Midi, H.

BibTeX Export

@article{dahir_abdi_ali_2021_204,
  author       = {Dahir Abdi Ali and
                  Midi, H.},
  title        = {{On the Robust Parameter Estimation Method for 
                   Linear Model with Autocorrelated Errors in the
                   Presence of High Leverage Points and Outliers in
                   the Y-Direction}},
  journal      = {MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES},
  year         = 2021,
  volume       = 14,
  number       = {3 (2020)},
  pages        = {505-517},
  month        = jul,
  doi          = {10.20374/sorer/204},
  url          = {https://doi.org/10.20374/sorer/204}
}
105
78
views
downloads
All versions This version
Views 105105
Downloads 7878
Data volume 37.8 MB37.8 MB
Unique views 7676
Unique downloads 7373
Publication date:
July 5, 2021
DOI:
10.20374/sorer/204

SORER DOI Badge

DOI 

10.20374/sorer/204

Markdown 

[![DOI](https://sorer.somaliren.org.so/badge/DOI/10.20374/sorer/204.svg)](https://doi.org/10.20374/sorer/204)

reStructedText 

.. image:: https://sorer.somaliren.org.so/badge/DOI/10.20374/sorer/204.svg
   :target: https://doi.org/10.20374/sorer/204

HTML 

<a href="https://doi.org/10.20374/sorer/204"><img src="https://sorer.somaliren.org.so/badge/DOI/10.20374/sorer/204.svg" alt="DOI"></a>

Image URL 

https://sorer.somaliren.org.so/badge/DOI/10.20374/sorer/204.svg

Target URL 

https://doi.org/10.20374/sorer/204

Keyword(s):
Autocorrelation Bad leverage points, Cochrane-Orcutt Prais- Winsten iterative method (COPW) Good leverage points, High leverage points (HLPs), outliers.
Published in:
MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES: 14 pp. 505-517.
Communities:
License (for files):
Creative Commons Attribution-NonCommercial-ShareAlike

Versions

Version 1 10.20374/sorer/204 Jul 5, 2021
Cite all versions? You can cite all versions by using the DOI 10.20374/sorer/203. This DOI represents all versions, and will always resolve to the latest one.

Share

Cite as

Export