Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/ascmo-11-73-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-11-73-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
17 Mar 2025
 | 17 Mar 2025

On inference of boxplot symbolic data: applications in climatology

Abdolnasser Sadeghkhani and Ali Sadeghkhani

Viewed

Total article views: 590 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
490 73 27 590 29 79
  • HTML: 490
  • PDF: 73
  • XML: 27
  • Total: 590
  • BibTeX: 29
  • EndNote: 79
Views and downloads (calculated since 17 Mar 2025)
Cumulative views and downloads (calculated since 17 Mar 2025)

Viewed (geographical distribution)

Total article views: 600 (including HTML, PDF, and XML) Thereof 600 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Nov 2025
Download
Short summary
This paper presents a novel study on boxplot-valued data in climatological applications. Our methodologies are applied to the Berkeley Earth Surface Temperature Study. We validate our approaches through comprehensive simulations, comparing Bayesian and frequentist estimators for efficiency and accuracy. The results provide robust insights into climatic trends, particularly summer average temperatures across European countries. 
Read more
Share